Search results “Bi text mining book”
NLP: Understanding the N-gram language models
Hi, everyone. You are very welcome to week two of our NLP course. And this week is about very core NLP tasks. So we are going to speak about language models first, and then about some models that work with sequences of words, for example, part-of-speech tagging or named-entity recognition. All those tasks are building blocks for NLP applications. And they're very, very useful. So first thing's first. Let's start with language models. Imagine you see some beginning of a sentence, like This is the. How would you continue it? Probably, as a human,you know that This is how sounds nice, or This is did sounds not nice. You have some intuition. So how do you know this? Well, you have written books. You have seen some texts. So that's obvious for you. Can I build similar intuition for computers? Well, we can try. So we can try to estimate probabilities of the next words, given the previous words. But to do this, first of all,we need some data. So let us get some toy corpus. This is a nice toy corpus about the house that Jack built. And let us try to use it to estimate the probability of house, given This is the. So there are four interesting fragments here. And only one of them is exactly what we need. This is the house. So it means that the probability will be one 1 of 4. By c here, I denote the count. So this the count of This is the house,or any other pieces of text. And these pieces of text are n-grams. n-gram is a sequence of n words. So we can speak about 4-grams here. We can also speak about unigrams, bigrams, trigrams, etc. And we can try to choose the best n,and we will speak about it later. But for now, what about bigrams? Can you imagine what happens for bigrams, for example, how to estimate probability of Jack,given built? Okay, so we can count all different bigrams here, like that Jack, that lay, etc., and say that only four of them are that Jack. It means that the probability should be 4 divided by 10. So what's next? We can count some probabilities. We can estimate them from data. Well, why do we need this? How can we use this? Actually, we need this everywhere. So to begin with,let's discuss this Smart Reply technology. This is a technology by Google. You can get some email, and it tries to suggest some automatic reply. So for example, it can suggest that you should say thank you. How does this happen? Well, this is some text generation, right? This is some language model. And we will speak about this later,in many, many details, during week four. So also, there are some other applications, like machine translation or speech recognition. In all of these applications, you try to generate some text from some other data. It means that you want to evaluate probabilities of text, probabilities of long sequences. Like here, can we evaluate the probability of This is the house, or the probability of a long,long sequence of 100 words? Well, it can be complicated because maybe the whole sequence never occurs in the data. So we can count something, but we need somehow to deal with small pieces of this sequence, right? So let's do some math to understand how to deal with small pieces of this sequence. So here, this is our sequence of keywords. And we would like to estimate this probability. And we can apply chain rule,which means that we take the probability of the first word, and then condition the next word on this word, and so on. So that's already better. But what about this last term here? It's still kind of complicated because the prefix, the condition, there is too long. So can we get rid of it? Yes, we can. So actually, Markov assumption says you shouldn't care about all the history. You should just forget it. You should just take the last n terms and condition on them, or to be correct, last n-1 terms. So this is where they introduce assumption, because not everything in the text is connected. And this is definitely very helpful for us because now we have some chance to estimate these probabilities. So here, what happens for n = 2, for bigram model? You can recognize that we already know how to estimate all those small probabilities in the right-hand side,which means we can solve our task. So for a toy corpus again,we can estimate the probabilities. And that's what we get. Is it clear for now? I hope it is. But I want you to think about if everything is nice here. Are we done?
Views: 4505 Machine Learning TV
Text Mining and Analytics Made Easy with DSTK Text Explorer
DSTK - Data Science Toolkit offers Data Science softwares to help users in data mining and text mining tasks. DSTK follows closely to CRISP DM model. DSTK offers data understanding using statistical and text analysis, data preparation using normalization and text processing, modeling and evaluation for machine learning and statistical learning algorithms. DSTK Text Explorer helps user to do text mining and text analytics task easily. It allows text processing using stopwords, stemming, uppercase, lowercase and etc. It also has features in sentiment analysis, text link analysis, name entity, pos tagging, text classification using stanford nlp classifier. It allows data scraping from images, videos, and webscraping from websites. For more information, visit: http://dstk.tech
Views: 3639 SVBook
Pushing the Power BI buttons 👆
You haven't missed the Power Bi April 2018 update right? My favourite feature is by far the new buttons! With Power Bi buttons you can create all kinds of experiences, like buttons to change charts, as I show in this demo. What is your favourite Power BI april 2018 update? Let me know in the comment box. Looking for a download file? Go to our Download Center: https://curbal.com/donwload-center SUBSCRIBE to learn more about Power and Excel BI! https://www.youtube.com/channel/UCJ7UhloHSA4wAqPzyi6TOkw?sub_confirmation=1 Our PLAYLISTS: - Join our DAX Fridays! Series: https://goo.gl/FtUWUX - Power BI dashboards for beginners: https://goo.gl/9YzyDP - Power BI Tips & Tricks: https://goo.gl/H6kUbP - Power Bi and Google Analytics: https://goo.gl/ZNsY8l ABOUT CURBAL: Website: http://www.curbal.com Contact us: http://www.curbal.com/contact ▼▼▼▼▼▼▼▼▼▼ If you feel that any of the videos, downloads, blog posts that I have created have been useful to you and you want to help me keep on going, here you can do a small donation to support my work and keep the channel running: https://curbal.com/product/sponsor-me Many thanks in advance! ▲▲▲▲▲▲▲▲▲▲ QUESTIONS? COMMENTS? SUGGESTIONS? You’ll find me here: ► Linkedin: https://goo.gl/3VW6Ky ► Twitter: @curbalen, @ruthpozuelo ► Google +: https://goo.gl/rvIBDP ► Facebook: https://goo.gl/bME2sB #POWERBITIPS #CURBAL #POWERBI #MVP
Views: 12969 Curbal
Text Mining: Assessment of NGrams with Groupby in KNIME
Computing the percent positive and negative sentiment in KNIME using the groupby and math nodes
Views: 845 Dean Abbott
E-DAB 01: Excel Data Analysis & BI Basics Class 01: What is Data Analysis & Business Intelligence?
Download Notes from Video: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/EDAB/E-DAB-01-IntroductionToClass.pptx Full class web site: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/EDAB/EDAB.htm This video is an introduction to the : Data Analysis & Business Intelligence Made Easy with Excel Power Tools - Excel Data Analysis Basics = E-DAB Class – Sponsored by YouTube and taught by Mike Girvin, Highline College Instructor, Microsoft Excel MVP and founder of the excelisfun channel at YouTube. This is a free educational resource for people how want to learn about the Basics of Data Analysis and Business Intelligence using Microsoft Power Tools such as, PivotTables, Power Query, Power Pivot, Power BI Des Topics: 1. (00:00) Intro Song 2. (00:12) Intro to First video in class 3. (01:36) Instructor 4. (01:59) Scope of Class 5. (02:40) Version of Excel 6. (03:30) Define Data Analysis & Business Intelligence 7. (06:00) Goals of Class 8. (09:31) Videos Topics Presented In Class 9. (10:33) Files for you to Download 10. (10:59) What You Will Gain After Taking This Class 11. (12:17) Summary The Power Query logo used in this video is copyright of and used with the express permission of https://powerquery.training Thanks to Ken Puls and Miguel Escobar for letting me use their logo!!!!
Views: 14777 ExcelIsFun
Text Analytics with R | How to find correlation between words - Data Science Tutorial
In this text analytics with R video I've talked abou how you can find correlation between. words and understand the context behind the entire text and the motive of speaker or writer. This helps understand how one specific important word is related to other words in the entire text and we can limit the correlation also to look at only those words which has either high or low correlation. Text analytics with R,how to find correlation between words in R,data science tutorial,finding correlation between words,finding most frequent terms in the entire text,Finding most frequent words in R,word correlation in R,r Word correlation,Learn Text analytics in R,R Text mining,introduction to text analytics with R,most frequent words script in R,R script to find most frequent words,R script to find correlation between words,R script for Text mining
Skills Needed For Data Scientist and Data Analyst
In this Video, We will be discussing about the skills needed for data analyst and data scientist roles. The reason for making one video to discuss both data analyst and data scientist roles is because there are a lot things in common between both these two role. Data Analyst does a lot of descriptive analytics. On the other hand, Data Scientist also does descriptive analytics. But also data scientists do something called predictive analytics. So let's try to understand what Descriptive and Predictive analytics mean. Descriptive Analytics is all about analyzing the historical data to answer this particular question which is "WHAT HAS HAPPENED TILL NOW??". Predictive Analytics also involves analysis of historical data but, predictive analytics is mainly all about answering the question which is.. "WHAT WILL HAPPEN IN THE FUTURE??" Let's understand this with a simple example. I have sales data of XYZ company in a table format. As part of descriptive analytics, we can simply create a scatter chart so that we can quickly understand how the company has been performing in terms of sales in the previous years. Now let's look at predictive analytics. So now that we know how the company has been performing in the previous years, can we predict what's gonna happen to the sales in the coming years?.. Will the sales increase, or decrease or does it remain the same??.. If we are able to answer these questions, then it is called as predictive analytics. So coming back to the comparison of Data Analyst and Data Scientist roles, Now that we have some idea about the differences between the two roles, lets now look at skills needed for each of these two roles. Data Analysts should be good with Math and Statistics. They should be good with handling the data. -- This includes knowledge of ETL (or Extract Transform and Load) operations on data and experience working with popular ETL tools such as Informatica – PowerCenter,IBM – Infosphere Information Server, alteryx, Microsoft – SQL Server Integrated Services (SSIS), Talend Open Studio, SAS – Data Integration Studio ,SAP – BusinessObjects Data Integrator, QlikView Expressor or any other popular ETL tool. -- They should be comfortable in handling data from different sources and in different formats such as text, csv, tsv, excel, json, rdbms and others popular formats. -- They should have excellent knowledge of SQL (or Structured Query Language). Its a Bonus to have -- The knowledge of Big data tools and technologies to handle large data sets. -- NoSQL databases such as HBase, Cassandra and MongoDB. They should be expert in Analysing and Visualizing the data. -- They Should have experience working with popular data analysis and visualization packages in python and R such as numpy, scipy, pandas, matplotlib, ggplot and others. -- Experience with popular data analysis and visualization BI tools such as Tableau, Microsoft Power BI, SAP BI, SAS BI, Oracle BI, QlikView or any other popular BI tool They should have good communication and storytelling skills. Lets now look at the skills needed for data scientist role. Data scientist also does descriptive analytics just like data analysts. Apart from that, they also do predictive analytics. So as part of Descriptive analytics: Data Scientists should be excellent with Math and Statistics. Data scientists should be good with handling data -- So yes, they should have experience working with popular ETL frameworks. -- They should have excellent knowledge of SQL. -- Many companies expect data scientists to have mandatory knowledge of big data tools and technologies to work with large datasets and also to work with structured, semi-structured and unstructured data. -- Its good to have the knowledge of NoSQL databases such as HBase, Cassandra and MongoDB. They should be expert in Analysing and Visualizing the data. -- Experience working with popular data analysis and visualization packages in python and R. -- Experience with popular data analysis and visualization BI tools such as Tableau, Microsoft Power BI, SAP BI, SAS BI, Oracle BI, QlikView or any other popular BI tool. They should also have excellent communication and storytelling skills. And as part of predictive analytics, They should be good in using the techniques in artificial intelligence, data mining, machine learning, and statistical modeling to make future predictions using the historical data. Exposure to popular predictive analytics tools such as SAP Predictive analytics, Minitab, SAS Predictive Analytics, Alteryx Analytics, IBM predictive analytics or any other popular predictive analytics tool. They should have very good exposure to popular machine learning and deep learning packages available for Python and R such as scikit learn, tensorflow, theano,rpart, caret, randomForest, nnet, and other popular libraries.
Views: 3948 Art of Engineer
Power BI - Create an AWESOME Navigation Menu - with BOOKMARKS -  Easy to use! Easier to set up!
We all need to know where we are whether we are on a website or in a report. This video shows how you can create an interactive awesomeness with navigation menu.
Views: 35297 The BI Wizz Kid
Facebook Sentiment Analysis Dashboard with Pentaho
Open Source, Pentaho, BI, Business Intelligence, Big Data, Sentiment Analysis, OLAP,
Views: 3413 Stratebi
'What If' Parameter Feature Review - Power BI & DAX
An awesome new release in Power BI automates the setup of 'what if' parameters for scenario analysis. Creating models with advanced scenario analysis is one of the best ways to use Power BI, this new feature will speed up this type of analysis for all.
Views: 10480 Enterprise DNA
Text Analysis For Call Center Short Demo Using R and Google Speech API
This was from about 25 call recordings at a call center that were transcribed from speech to text using the Google Speech API. Once I transcribed the calls - I converted them into plain text (i.e. rtf to txt) and just dropped them in a folder and then used R to play with the text. Basically these packages and R scripts just take the data- put it in a friendly format and clean it up and then fondle it to bring some very general but meaningful insight. You can use this to see what types of calls you are getting, to find correlations with the calls and groupings with the cluster, and to see words that are most often used as well as toggle the thresholds to make it more strict or loose in finding words used more often/less. I will be sharing my scripts at some point, as they are very basic at the moment. But to reproduce this, get your R studio and the libraries needed and run this script here: https://github.com/thesmarthomeninja/ Under the Text Analysis Repo (not the twitter repo). Keep in mind you need your own text to analyze as I can't share that content. Although there are libraries with books and example text datasets if you google tidytext examples and documents online. Also, I'm working on putting together a blog to share this content or sub-domain off my website: https://www.thesmarthomeninja.com You can follow me on any social platform under the handle- The Smart Home Ninja. Subscribe for more content to come!
Views: 2299 The Smart Home Ninja
Grouping & Segmenting Your Data With DAX Measure Logic - Advanced DAX
An advanced DAX technique for Power BI which enables you to group information via a supporting table that contains some inner and outer limits to each segment. More advanced DAX technique but very versatile and can be used in many situations. ***** Learning Power BI? ***** All Enterprise DNA TV Resources - https://enterprisedna.co/Enterprise-DNA-TV-resources FREE COURSE - Ultimate Beginners Guide To Power BI - http://enterprisedna.co/ultimate-beginners-guide-to-power-bi FREE - Power BI Resources - http://enterprisedna.co/power-bi-resources Learn more about Enterprise DNA - http://www.enterprisedna.co/
Views: 37497 Enterprise DNA
The Anunnaki Creation Story: The Biggest Secret in Human History - Nibiru is Coming
445 000 years ago, “creator gods” – as they call it – came to Earth. They were called the Anunnaki, which means “Those Who from Heaven to Earth Came”. These beings inhabited a distant orbiting planet called Nibiru, which only entered our solar system every 3,600 years. They describe Nibiru as many times the diameter of Earth, and abundant with iron oxide, making its rivers and lakes appear red. A side note about Nibiru: according to the Sumerian tablets, Nibiru’s atmosphere began to deteriorate and became a hostile place for life, and in order to restore it, the Annunaki needed one important element for their atmosphere: gold. Music: Kevin Macleod - Rites (Royalty Free) Cowritten and Narrated by Elisabeth Firestone: [email protected] Scenes from the following productions were used under Fair Use for educational purposes: History Channel's Ancient Aliens PBS NOVA's Secrets of Noah's Ark 2015 Ancient Sumerian History and Anunnaki Culture - https://www.youtube.com/watch?v=S8sLX9JJUwM UR Sumerian city 2300 BC - https://www.youtube.com/watch?v=nIP8OVm2KiY AMAR UTU - Solar calf: https://www.youtube.com/watch?v=nFUOecyl9uk 💜 Subscribe and like if you enjoyed the video. Thank you 💜 🌐 Support and keep this channel alive here: http://bit.ly/2COJqdM I would be forever grateful 🙏💗 ☀️ Official Website: http://universeinsideyou.net/ Playlists: Everything from Universe Inside You: http://bit.ly/2nU5Ur7 Ancient History and Aliens: http://bit.ly/2F29i7X Spiritual Knowledge and Understanding: http://bit.ly/2CNb1My Personality Tests: http://bit.ly/2CqbcBx Esoteric and Occult Knowledge: http://bit.ly/2BZo8NI Nikola Tesla - Universal Knowledge: http://bit.ly/2ox56qy Galactic Civilizations - Extraterrestrial Races: http://bit.ly/2t2s8KK The Law of Attraction: http://bit.ly/2EYBMnj Join us on: 🌺 Instagram: https://www.instagram.com/universe.inside.you 🌺 Facebook Page: https://www.facebook.com/universalloving 🌺 Twitter: https://twitter.com/universeinsideu You can also help by translating or adding CC to the videos: http://www.youtube.com/timedtext_cs_p... #anunnaki Subscribe to Universe Inside You 💫
Views: 5158109 Universe Inside You
Why should you read James Joyce's "Ulysses"? - Sam Slote
Download a free audiobook and support TED-Ed's nonprofit mission: http://adbl.co/2y0J0DT Check out James Joyce's "Ulysses": https://shop.ed.ted.com/collections/ted-ed-book-recommendations/products/ulysses View full lesson: https://ed.ted.com/lessons/why-should-you-read-james-joyce-s-ulysses-sam-slote James Joyce's “Ulysses” is widely considered to be both a literary masterpiece and one of the hardest works of literature to read. It inspires such devotion that once a year, thousands of people all over the world dress up like the characters, take to the streets, and read the book aloud. So what is it about this novel that inspires so many people? Sam Slote uncovers the allure of this epic tome. Lesson by Sam Slote, directed by Paper Panther. Thank you so much to our patrons for your support! Without you this video would not be possible. Jayant Sahewal, Marvin Vizuett, Marylise Chauffeton, سلطان الخليفي, Connor Wytko, Vinicius Lhullier, Sama Aafghani, Hannah Beth, Peter Owen, Mandeep Singh, Abhijit Kiran Valluri, Morgan Williams, Annamaria Szilagyi, Alexander Walls, Kris Siverhus, Hoang Ton, Jason Weinstein, Juliana, Tom Lee, Stephen Michael Alvarez. Check out our Patreon page here: https://www.patreon.com/teded
Views: 925600 TED-Ed
Biblical Series I: Introduction to the Idea of God
Lecture I in my Psychological Significance of the Biblical Stories series from May 16th at Isabel Bader Theatre in Toronto. In this lecture, I describe what I consider to be the idea of God, which is at least partly the notion of sovereignty and power, divorced from any concrete sovereign or particular, individual person of power. I also suggest that God, as Father, is something akin to the spirit or pattern inherent in the human hierarchy of authority, which is based in turn on the dominance hierarchies characterizing animals. Q & A Starts: 1:57:25 Producer Credit and thanks to the following $200/month Patreon supporters. Without such support, this series would not have happened: Adam Clarke, Alexander Meckhai’el Beraeros, Andy Baker, Arden C. Armstrong, Badr Amari, BC, Ben Baker, Benjamin Cracknell, Brandon Yates, Chad Grills, Chris Martakis, Christopher Ballew, Craig Morrison, Daljeet Singh, Damian Fink, Dan Gaylinn, Daren Connel, David Johnson, David Tien, Donald Mitchell, Eleftheria Libertatem, Enrico Lejaru, George Diaz, GeorgeB, Holly Lindquist, Ian Trick, James Bradley, James N. Daniel, III, Jan Schanek, Jason R. Ferenc, Jesse Michalak, Joe Cairns, Joel Kurth, John Woolley, Johnny Vinje, Julie Byrne, Keith Jones, Kevin Fallon, Kevin Patrick McSurdy, Kevin Van Eekeren, Kristina Ripka, Louise Parberry, Matt Karamazov, Matt Sattler, Mayor Berkowitz , Michael Thiele, Nathan Claus, Nick Swenson , Patricia Newman, Pisit Mongkolsiriwattana, Robb Kelley, Robin Otto, Ryan Kane, Sabish Balan, Salman Alsabah, Scott Carter, Sean C., Sean Magin, Sebastian Thaci, Shiqi Hu, Soheil Daftarian, Srdan Pavlovic, Starting Ideas, Too Analytical, Trey McLemore, William Wilkinson, Yazz Troche, Zachary Vader --- SUPPORT THIS CHANNEL --- Direct Support: https://www.jordanbpeterson.com/donate Merchandise: https://teespring.com/stores/jordanbpeterson --- BOOKS --- 12 Rules for Life: An Antidote to Chaos: https://jordanbpeterson.com/12-rules-for-life/ Maps of Meaning: The Architecture of Belief: https://jordanbpeterson.com/maps-of-meaning/ --- LINKS --- Website: https://jordanbpeterson.com/ 12 Rules for Life Tour: https://jordanbpeterson.com/events/ Blog: https://jordanbpeterson.com/blog/ Podcast: https://jordanbpeterson.com/podcast/ Reading List: https://jordanbpeterson.com/great-books/ Twitter: https://twitter.com/jordanbpeterson Instagram: https://www.instagram.com/jordan.b.peterson/ Facebook: https://www.facebook.com/drjordanpeterson --- PRODUCTS --- Self Authoring Suite: https://selfauthoring.com/ Understand Myself personality test: https://understandmyself.com/ Merchandise: https://teespring.com/stores/jordanbpeterson
Views: 3715885 Jordan B Peterson
How to Build A Story Board in BI Office V6
Visit https://www.pyramidanalytics.com to see what else BI Office has to offer! Here at Pyramid Analytics, we believe your data tells a story. To help you tell you story, we created Story Board, the dashboarding client in BI Office. Pull grids, charts and other views from your existing reports into a storyboard to help you communicate the story your data tells. In this tutorial, we will: • Create a storyboard by adding content from the Product Sales Analysis book shared with us in Group content • Filter each page with slicers • Change the view and layout of the slides • Save and view our storyboard For comments, discussions, and additional BI Office information, visit our user community at https://community.pyramidanalytics.com/!
Views: 341 Pyramid Analytics
How to build Interactive Excel Dashboards
Download file used in the video with step by step instructions and links to more tutorials: https://www.myonlinetraininghub.com/workbook-downloads In this video you will learn how to create an interactive dashboard from scratch using the built in Excel tools. No add-ins or VBA/Macros. Just plain Excel. Applies to Excel 2007 onward for Windows & Excel 2016 onward for Mac. Subscribe to my free newsletter and get my 100 Tips & Tricks eBook here: https://www.myonlinetraininghub.com/sign-up-for-100-excel-tips-and-tricks
Views: 1911140 MyOnlineTrainingHub
A Boogie Wit Da Hoodie - Drowning [Official Music Video]
The official video for A Boogie Wit Da Hoodie's "Drowning" featuring Kodak Black from his debut studio album 'The Bigger Artist' - Available Now! Subscribe for the latest official music videos, performances, behind the scenes and more from A Boogie: https://ABoogie.lnk.to/subscribe Download/Stream "Drowning feat. Kodak Black": https://Atlantic.lnk.to/Drowning Download/Stream The Bigger Artist - https://Atlantic.lnk.to/TheBiggerArtist Follow A Boogie Instagram: https://www.instagram.com/ArtistHBTL Twitter: https://twitter.com/ArtistHBTL Facebook: https://www.facebook.com/ArtistHBTL Soundcloud: https://soundcloud.com/a-boogie-wit-da-hoodie Spotify: https://open.spotify.com/artist/31W5EY0aAly4Qieq6OFu6 Website: https://aboogiehbtl.com Follow High Bridge Facebook: https://www.facebook.com/HighBridgeOfficial Twitter: https://twitter.com/Highbridgelabel Instagram: https://www.instagram.com/highbridgethelabel Soundcloud: https://soundcloud.com/user-939666509 Director – The RiTE Brothers Video Commissioner/VP Video Production - Emmanuelle Cuny-Diop Producers – Sam Green & Paris Schulman Creative Director – Lucas Prevost Associate Director, Video Administration – Lily F Thrall Manager, Video Production – Joseph Boyd Assistant, Video Content – Austin Gomez Assistant, Video Production – Trevor Joseph Newton The official YouTube channel of multi-platinum rapper/singer-songwriter: Artist Dubose, known as A Boogie Wit Da Hoodie. He made waves with the breakout hit “Still Think About You” featured on his 2016 debut mixtape, ‘Artist.’ The mixtape also introduced fans to “My Shit” which went on to become RIAA certified platinum and was also listed as one of “The Best Songs of 2016” on Apple Music. A Boogie went on to release the 3x platinum “Drowning feat. Kodak Black” along with the platinum singles “Jungle” and “Timeless.” In fall 2017, A Boogie released his gold certified debut album, ‘The Bigger Artist,’ jumping into the Top 5 on Billboard’s Top 200 and #1 on Billboard’s Emerging Artists chart. He is nominated for the 2018 BET Awards for “Best New Artist” and the release of his sophomore album, ‘Hoodie SZN’ spent two weeks as the #1 album on the Billboard 200. Subscribe for the latest official music videos, performances, behind the scenes and more from A Boogie: https://ABoogie.lnk.to/subscribe #ABoogie #ABoogieWitDaHoodie #Drowning #OfficialVideo #AtlanticRecords #Atlantic #HBTL #HighBridge
Views: 52664571 A-Boogie Wit Da Hoodie
Bobby McFerrin - Don't Worry Be Happy
Music video by Bobby McFerrin performing Don't Worry Be Happy.
Views: 127351227 BobbyMcFerrinVEVO
LITERATURE - George Orwell
George Orwell is the most famous English language writer of the 20th century, the author of Animal Farm and 1984. What was he trying to tell us and what is his genius? If you like our films, take a look at our shop (we ship worldwide): https://goo.gl/vSiVRh Join our exclusive mailing list: http://bit.ly/2e0TQNJ Or visit us in person at our London HQ https://goo.gl/90vzcY FURTHER READING You can read more on our great thinkers at our blog: TheBookofLife.org at this link: https://goo.gl/Ne28ro MORE SCHOOL OF LIFE Our website has classes, articles and products to help you think and grow: https://goo.gl/7w22rM Watch more films on Literature and our Curriculum in our playlist: http://bit.ly/TSOLcapitalism Do you speak a different language to English? Did you know you can submit Subtitles on all of our videos on YouTube? For instructions how to do this click here: https://goo.gl/rU7lhw SOCIAL MEDIA Feel free to follow us at the links below: Facebook: https://www.facebook.com/theschooloflifelondon/ Twitter: https://twitter.com/TheSchoolOfLife Instagram: https://www.instagram.com/theschooloflifelondon/ CREDITS Produced in collaboration with: Mike Booth http://www.youtube.com/somegreybloke #TheSchoolOfLife
Views: 898247 The School of Life
KATNISS vs HERMIONE: Princess Rap Battle (Molly C. Quinn & Whitney Avalon)
▶ Get cool perks + support my work: http://patreon.com/whitneyavalon ▶ "Even Potter knows I'm hotter" shirts: http://whitneyavalon.spreadshirt.com ▶ iTunes: https://itunes.apple.com/us/album/katniss-vs.-hermione-princess/id1061801722 ▶ Spotify: https://open.spotify.com/album/34hFLmt6cmaLm56so4MpEg When the Goblet of Fire selects the ‘girl on fire,’ Hermione (Molly C. Quinn) takes on Katniss (Whitney Avalon) in a book-babe brawl. Press/business: [email protected] Thanks to Level Up, who helped make this video possible! (Code no longer active.) ** CREDITS ** Writer/Producer/Director/Katniss: Whitney Avalon http://whitneyavalon.com Writer/Producer/Director/Editor: Steve Gossett http://twitter.com/thestevegossett Hermione: Molly C. Quinn http://twitter.com/mollyquinn93 Harry: Chase Fein http://chasefein.com Ron: Evin Michaels http://twitter.com/evinmichaels Peeta: John Robert Keena https://www.instagram.com/realjrk/ Gale: Cole Gerdes http://instagram.com/colegerdes Dumbledore: Thomas Stiver Effie: Taryn Southern http://youtube.com/TarynSouthern Cinematographer: Peyton Skelton 1st Assistant Camera: Bianca Bahena 2nd AC/Data Tech: Vanessa Ward Composer: Ryan Elder http://ryaneldermusic.com Make-up/Hair: Patty Jarvis, Rebecca Lee Castro Costume Designer: Sarah Jeanne Prod. Coordinator: Cate Cundiff, Leia Crawford Prod. Designer: Paul Bianchi Staff Writer/Asst. to Producers: Michael Sullivan Key Grip: Kevin Nieliwocki Gaffer: Gio Knox Grip: Billy Brenner, Jim Sabo, Jim Burzelic 1st AD/Puppeteer: T.C. DeWitt BTS Cam/Stills: Candace Lauren Ostler VFX Supervisor: Brad Clapper Sound Designer: Shannon Deane Playback: Alex Frew Wigs: Laura Richards Asst. to Producers: Clare Loughran PA: Elizabeth Osterwisch, Dan Braswell, Reera Yoo PA/Craft Service: Diane Musselman Cultural Consultants: Gary Scullion, Nick Acott Archery Advisor: Kaitlin Kelly Special Thanks: Chris Schmidt, Evelyn Torres, Jamie Chandler, Mareena D’Angelo ** #PRINCESSRAPBATTLE LYRICS ** K: I’m Katniss and I can’t miss, I’m the fastest, you can’t catch this Make a last wish – gonna need three cannons for this hat trick So sick of your schtick, all I do is win, ya nitpick That’s why I’m the hero and you’re just a sidekick Pathetic and predictable – I’m hot on your trail Coulda had a Viktor, but you chose ginger fail? I bet with wands drawn, he’s still just a yawn With performances worse than Michael Gambon Got a Nimbus up your butt? Well, let’s probe deeper Never played quidditch but you know I’m a keeper You must be drunk on butterbeer, now grab a cloak and disappear Who wants to kick this witch’s ass? Hmm… I volunteer! H: Oh, there’ll be no trouble ‘cause on stage you struggle I’ll be charming and disarming while I waste this rubbish Muggle I’ll end this blasted skrewt, propaganda prostitute Who thinks she’s so cute with her Girl Scout salute Just a tribute, can’t decide which guy’s sweeter Share your bread with Gale, then stuff your mouth with Peeta How does it help the poor to start a civil war? Your story’s a bore, why don’t you plagiarize more? It’s been done before, ask Dumbledore It’s Battle Royale set in 1984 And furthermore if you’re keeping score that’s five more points for GRYFFINDOR! K: I’ll drill this dentists’ daughter here in her alma mater ‘bout to slaughter this otter, even Potter knows I’m hotter I stomp career jocks, kick your British buttocks For this Riddle, second fiddle, you’re the Watson to his Sherlock Turn back the clocks, tick tock, tick tock Odds ever in my favor ‘cause you rap like an Avox Shock the mic like a wire, you’ll fry and die on a pyre ‘cause you’re gonna get burned by the girl on fire! H: On fire? Oh! Just like your dad Or the hospital you visited to film a quick ad I’ve got the cortex to ace my subjects I got that bad blood while you run with rejects These coal miner rednecks need reality checks You’re just another pawn in the military complex A fashion figurehead for the underfed Brilliant, you survived! But Rue’s still dead. K: The difference between you and me is book knowledge and street smarts Step to the Mockingjay you’ll end up with scar marks It’s like you’re hijacked, you’re mental, delirious We find it funny, but you’re dead Sirius I’m the pro with a bow and the flow to overthrow Mr. Snow and his whole freaking reality show Little miss perfect, though what’s truly twisted On your parents’ happiest day they forgot you existed H: I bust bars like Haymitch, the smartest witch, I own this bitch Hey, how are you still hungry in that beefcake sandwich? Fraud wedding, fake baby, and your flames don’t exist So-called star-crossed lovers need a camera to kiss I sling unforgettable verses like unforgivable curses What’s worse is your universe isn’t immersive Your glory’s only temporary, your country is a mortuary Next on your itinerary: kill yourself, eat the berries ** THANKS FOR WATCHING! :) **
Views: 36847427 Whitney Avalon
Data Mining - Facebook part 1
This tutorial shows how to access,use and communicate with Facebook API using graph API explorer.It gives a brief idea about what kind of data we can retrieve from Facebook.
Views: 26927 Vikash Khairwal
How to recognize a dystopia - Alex Gendler
View full lesson: http://ed.ted.com/lessons/how-to-recognize-a-dystopia-alex-gendler The genre of dystopia – the ‘not good place’– has captured the imaginations of artists and audiences alike for centuries. But why do we bother with all this pessimism? Alex Gendler explains how dystopias act as cautionary tales – not about some particular government or technology, but the very idea that humanity can be molded into an ideal shape. Lesson by Alex Gendler, animation by TED-Ed.
Views: 1728760 TED-Ed
Beyoncé - Pretty Hurts (Video)
BEYONCÉ Platinum Edition. Available on iTunes: http://beyonce.lk/itunesplatinum Available on Amazon: http://beyonce.lk/platinumam Box Set includes : 2 New Tracks . 4 New Remixes . 10 Live performances . 2015 Mini Calendar . 2 Photo Books . 17 Music Videos Additional Music Score by Elad Marish, Swell Music + Sound Music video by Beyoncé performing Pretty Hurts. (C) 2013 Columbia Records, a Division of Sony Music Entertainment Follow Beyoncé Website: https://www.beyonce.com Facebook: https://www.facebook.com/beyonce Twitter: https://twitter.com/beyonce Instagram: https://www.instagram.com/beyonce Listen to Beyoncé iTunes: https://itunes.apple.com/us/artist/beyonc%C3%A9/id1419227 Spotify: https://open.spotify.com/artist/6vWDO969PvNqNYHIOW5v0m
Views: 230664017 BeyoncéVEVO
Azure Usage Lite by Manga Solutions - for  Power BI
This solution provides easy analysis of billing and usage data from Azure (Microsoft's Cloud service). No other services or tools are required beyond Power BI Desktop. We will walk you through the setup steps in a brief session using Skype or your preferred similar desktop sharing software. This is a paid service. Try this solution as a live Power BI report, using sample data: https://app.powerbi.com/view?r=eyJrIjoiYzkxNTRjNmUtYWY2OC00ZTVkLWFjOGMtNGEwY2IwZmNmYjMxIiwidCI6ImRjMWYwNGY1LWMxZTUtNDQyOS1hODEyLTU3OTNiZTQ1YmY5ZCIsImMiOjEwfQ%3D%3D Contact us to book your setup session: http://mangasolutions.com/#contact
Views: 220 Mike Honey
Preventing Data Silos with Power BI
In this video, Patrick and Kalyn look at data silos and how to prevent it using Power BI. Different options exist, such as Analysis Services, Azure Analysis Services or models hosted in the Power BI service. LET'S CONNECT! Guy in a Cube -- https://guyinacube.com -- http://twitter.com/guyinacube -- http://www.facebook.com/guyinacube -- Snapchat - guyinacube -- https://www.instagram.com/guyinacube/ ***Gear*** Check out my Tools page - https://guyinacube.com/tools/
Views: 13388 Guy in a Cube
The Speech that Made Obama President
In 2004, a one-term senator from Illinois took the stage to deliver the keynote speech at the Democratic National Convention in Boston. By the time Barack Obama had finished speaking, Democrats across the country knew they had seen the future of their party. Political speech experts featured in this episode include: Michael A. Cohen Author, Live From The Campaign Trail Mario Cuomo Former Governor of New York Robert Lehrman Chief Speechwriter for Vice President Gore and Professor of Speechwriting, American University Charlton McIlwain Professor of Communication, New York University Jeff Shesol Speechwriter for President Clinton and Founding Partner, West Wing Writers PODIUM is a bi-weekly series that embraces the art of public speaking and honors those with something to say. From historic political speeches, to contemporary commencement addresses, to wedding toasts, the series explores various genres of speechmaking and provides inspiring, insightful analysis including "how-to" content. Created and produced by @radical.media, THNKR gives you extraordinary access to the people, stories, places and thinking that will change your mind. Follow @THNKR on Twitter for the latest! Like us on Facebook: http://www.facebook.com/thnkrtv Check out what we're into on Tumblr: http://thnkrtv.tumblr.com/
Views: 15078717 THNKR
Using data for a better future: R N Prasad at TEDxIIMRanchi
Prasad is an Educator, Business Intelligence (BI) Practitioner and a Product Manager. Prasad studies how businesses use 'Information' to make smart decisions. He uses his insights to educate new engineers and guide experienced professionals on applications of BI. His idea: In order to ensure extensive adoption of BI & Analytics, BI systems need to deliver business insights contextualized to each role. He believes that "Design Think" approach is a critical requirement in information systems education. His work focuses on holistic competency development of workforce needed for IT products and services businesses centered on Business Intelligence and Analytics. With 35 years of IT industry experience, currently Prasad is a solopreneur. He has authored a text book on BI for engineering students. Prasad has lead teams in organizations like Infosys limited, IBM, Aspect Development USA, VisionCompass USA and has contributed to BI product development, BI applications implementations and BI education. In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 1154 TEDx Talks
Azure Usage Lite by Manga Solutions - for Power BI
This solution provides easy analysis of billing and usage data from Azure (Microsoft's Cloud service). No other services or tools are required beyond Power BI Desktop. We will walk you through the setup steps in a brief session using Skype or your preferred similar desktop sharing software. This is a paid service. Try this solution as a live Power BI report, using sample data: https://app.powerbi.com/view?r=eyJrIjoiYzkxNTRjNmUtYWY2OC00ZTVkLWFjOGMtNGEwY2IwZmNmYjMxIiwidCI6ImRjMWYwNGY1LWMxZTUtNDQyOS1hODEyLTU3OTNiZTQ1YmY5ZCIsImMiOjEwfQ%3D%3D Contact us to book your setup session: http://mangasolutions.com/#contact
Views: 112 Mike Honey
Basic Excel Business Analytics #03: Goal Seek For What-If Analysis
Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm Learn How to use Excel’s Goal Seek to find the Break Even Point in Fixed Cost Variable Cost Analysis: 1) (00:12) Last Video 2) (00:24) Insert New Sheet and copy model created in last video. 3) (01:01) What is Goal Seek? 4) (02:43) Keyboard for Goal Seek 5) (03:14) Goal Seek to change the Decision Variable “Quantity” so that Profit Formula evaluates to Zero ($0). Try to find Break Even Point 6) (03:14) Goal Seek to change the Decision Variable “Revenue” so that Profit Formula evaluates to Zero ($0). Try to find Break Even Point. Download Excel File Not: After clicking on link, Use Ctrl + F (Find) and search for “Highline BI 348 Class” or for the file name as seen at the beginning of the video.
Views: 33468 ExcelIsFun
Excel, PowerQuery & PowerBI
Effective usage of Excel is the first topic, other topics covered in this video are: Excel & PowerQuery Opening Excel Viewing Multiple Workbook & Worksheets Using Name Ranges Using Table Feature What is PowerQuery? Importing Excel data to PowerQuery Unpivot Data Merging Multiple files from a folder PowerBI What is PowerBI PowerQuery in PowerBI Importing huge data to PowerBI Publishing data to PowerBI cloud Creating Dashboards on the cloud Learned about Quick insights Use NLP (Natural Language Processing Download Dashboard as PPT file
Views: 996 Pradip Pardeshi
Excel Power Query: Clear Line-Breaks  (A correction to the previous video)
Here's a quick video correcting 2 things from the previous video: Import Data from Web Page and Clear Line-Breaks https://www.youtube.com/watch?v=K9m7k994M2A Thanks: Wyn Hopkins, Micheal Reynolds and Chris Pope for pointing these out: 1. There was a single carat delimiter that I missed 2. There's a way in Power Query (Get and Transform) to separate columns by line-feeds and carriage returns. Have a look! And thanks for being in the battle against Crap Data. Also, I mention the Amsterdam MVP Excel Summit. It's 2 days of Excel MVPS teaching the public the greatest about Excel. It's 18 and 19 April. Here's a link for more details: https://topexcelclass.com/index.php/amsterdam-excel-summit/ Contact me: [email protected] Website: http://ozdusoleil.com My book: Guerrilla Data Analysis 2nd Edition http://www.amazon.com/Guerrilla-Analysis-Using-Microsoft-Excel/dp/1615470336 My old blog: http://datascopic.net/blog-2-2
Views: 843 Excel On Fire
Magic Tricks With Data. Why YOU Need a Data Strategy. Data Scientist; Brian Dolan’s Top 3 Tips for
Source: https://www.podbean.com/media/share/pb-8pva6-94e927 Recommendations to CEOs Implement a Business Intelligence (BI) tool (Micro Strategies or Tableau) Define your data strategy. Outside review of data and data strategy (overcome confirmation bias) Additional Topics: Define your Data Strategy (ahead of time). Stepping on toes (when data doesn’t confirm assumptions), Data Science, Unstructured Data. Artificial Intelligence, Data Analysis, data miner insult, CIA Text mining, Analytics on demand. How Fortune 100 use data. Saving lives with data analysis. Electronic Health Records (EHR). Digital medical records. Healthcare Industry, Natural Language Processing (NLP), Python Package, NLTK, sentence parsing capabilities. Reverse the question.  Specific question data analysis technique. Proximity search techniques. Sentiment mining, sentiment analysis. start at the back of the book.  Sequential patterns. Radial Method, computational biology and cryptography. Atari AI win. Artificial Intelligence hype vs reality. Reinforcement learning for AI. Genetics. What is AI? How computers interpret audio signals. Digital perception of sound. Difference between BI (Business Intelligence) and AI, Irish Music, Markovian Process, Relational databases, SQL database analytics, association rules, Retail Market Basket Analysis, Data Strategy, Hadoop, clustering algorithms, misaligned technology and corporate strategy, common mistake trying to create user engagement,  Clickthrough rates, CPM, ECPM,  Techniques to overcome Confirmation Bias. Detailed Show Notes Page & Transcripts Guest: Brian Dolan, Host Alex Vorobieff, Co-Host Paul Roberts
Does "The Wonderful Wizard of Oz" have a hidden message? - David B. Parker
View full lesson: http://ed.ted.com/lessons/does-the-wonderful-wizard-of-oz-have-a-hidden-message-david-b-parker In his introduction to “The Wonderful Wizard of Oz,” L. Frank Baum claims that the book is simply an innocent children’s story. But some scholars have found hidden criticisms of late-nineteenth-century economic policies in the book. Is it possible that one of America’s favorite children’s stories is also a subversive parable? David B. Parker investigates the text for clues. Lesson by David B. Parker, animation by Avi Ofer.
Views: 780193 TED-Ed
Humpty Dumpty Nursery Rhyme -  Learn From Your Mistakes!
"Humpty Dumpty" Nursery Rhyme. Story - King Humpty Dumpty lived a royal life in his palace. One day when he went on rounds, he sat on a huge wall and fell down. He got injured heavily. He finally recovered and realized that he had done a big mistake by climbing up the wall. Humpty Dumpty learned from his mistake, never climbed up any walls and never allowed any of his people to climb any walls in his kingdom. ============================================ Music and Lyrics: Copyright 2016 ChuChu TV™ Studios Video: Copyright 2016 ChuChu TV™ Studios ============================================
Basic Excel Business Analytics #11: Dynamic Grading Model: Excel Table feature & VLOOKUP
Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm Learn: 1) (00:13) Description of Dynamic Grade Calculator Model 2) (00:51) Create Example Table to enter grading data, with Excel Table feature Dynamic Ranges 3) (02:54) Name Excel Table so that name shows up in formulas. 4) (03:15) Create Formulas to add Total Possible and Your Total Points using Excel Table Formula Nomenclature, also known as Structured References. 5) (03:54) Create Percentage Formula 6) (04:02) Copy and Paste Grade table from a pdf file using Paste Special and Text To Columns feature 7) (07:26) Sort Grade Table Ascending or Smallest to Biggest so that the VLOOKUP Approximate Match formula can work properly. 8) (07:39) VLOOKUP formula to retrieve Decimal Grade based on a Percentage Grade. 9) (09:00) Add new grade data and see that our grading formulas update perfectly!!!! Download Excel File Not: After clicking on link, Use Ctrl + F (Find) and search for “Highline BI 348 Class” or for the file name as seen at the beginning of the video.
Views: 9031 ExcelIsFun
Woman Who Met Chris Watts on Tinder: ‘He Seemed Like a Genuine Guy’
A woman who met Colorado killer Chris Watts on Tinder is opening up about her short-lived affair with him. Amanda McMahon met Watts, who pleaded guilty last month to killing his pregnant wife, Shan'ann, and two daughters, on the dating site last March, just five months before he committed the murders. "He seemed like a genuine guy," McMahon told Inside Edition. "He was funny. He was charming." She added that Watts told her he was divorced.
Views: 356686 Inside Edition
Basic Excel Business Analytics #35: Power Query to Get Data From Web Site & Import into Excel.
Download file from “Highline BI 348 Class” section: https://people.highline.edu/mgirvin/excelisfun.htm Learn about How to use Power Query to Get Data From the Web and Import into Excel. Download Excel File Not: After clicking on link, Use Ctrl + F (Find) and search for “Highline BI 348 Class” or for the file name as seen at the beginning of the video. Power Query Tab, Get External Data, From Web. Excel 2016: Data Tab, Get and Transform group.
Views: 13379 ExcelIsFun
NLP Terminology in 10 Minutes
NLP, tf-idf, word vectors, entity extraction, and more explained in 10 minutes. Homepage: https://tomer-ben-david.github.io . **BOOK**: "Taming Text": "http://amzn.to/2CZTBNh" TF-IDF Weight higher the more a word appears in doc and not in corpus Term Frequency Inverse Document Frequency length TF-IDF, doc num of distinct words in doc, for each word number in vector. Word Vectors Calculate word vector: for each word w1 for each 5 window words, make vectors increasingly closer, vw1 closer vw2 king - queen ~ man - woman // wow it will find that for you! You can even download ready made word vectors https://tinyurl.com/word-vectors Google Word Vectors You can download ready made google trained vector words Text Structure Part-Of-Speech Tagging word roles: is it verb, noun, …? it’s not always obvious Head of sentence headsentence most important word, it’s not nessesaraly the first word, it’s the root of the sentence the most important word she hit the wall hit . You build a graph for a sentence and it becomes the root. Named entities People, Companies, Locations, …, quick way to know what text is about. Sentiment Analysis Sentiment Dictionary love +2.9, hated: -3.2, “I loved you but now I hate you” 2.9 - 3.2 Sentiment Entities Is it about the movie or about the cinema place? Sentiment Features Camera/Resolution , Camera/Convinience Text Classification Decisions, Decisions: What’s the Topic, is he happy, native english speaker? Mostly supervised training: We have labels, then map new text to labels Supervised Learning We have 3 sets, Train Set, Dev Set, Test Set. Train Set Dev=Validation Set Tuning Parameters and also to prevent overfitting, tune model Test Set Check your model Text Features Convert documents to be classified into features, bags of words word vectors, can use TF-IDF LDA Latent Dirichlecht Allocation: LDADocuments Topics Technology Topic: Scala, Programming, Machine Learning Sport Topic: Football, Basketball, Skateboards 3 most important words Pick number # of topics ahead of time like 5 topics Doc = Distributiontopics probability for each topic Topic = Distributionwords technology topic higher probably over cpu word Unsupervised, what topics patterns are there. Good for getting the sense what the doc is about. Machine Reading Entity Extraction EntityRecognitiontext EntityName - EntityType “paul newman is a great actor” PaulNewman - Person Entity Linking EntityLinkingEntity FixedMeaning EntityLinking“PaulNewman” “http://wikipedia../paul_newman_the_actor” and not the other paul newman based on text dbpedia DB for wikipedia, machines can read it its a db. Query DBPedia with SparQL FRED lib / Pikes FREDnatural-language formal-structure
Views: 520 Tomer Ben David
Data Mining Lecture - - Data Analytics life cycle (Eng-Hindi)
Business Intelligence Big data issues are solved using data analytics life cycle The key roles of data analytics are explained -~-~~-~~~-~~-~- Please watch: "PL vs FOL | Artificial Intelligence | (Eng-Hindi) | #3" https://www.youtube.com/watch?v=GS3HKR6CV8E -~-~~-~~~-~~-~-
Views: 21312 Well Academy
🔴 Talk Power BI LIVE (Subscribe & Join) March 17, 2017
Join me Fridays 9 AM Pacific to talk everything Power BI! Sign-Up at http://www.TalkPowerBI.com Here are the questions that were asked in this episode (click timestamp to jump to the question)... 03:58 (Eric) Images work for a Column. But how to make them display based on a measure? 14:04 (Pamela) DAX, CROSSJOIN() 17:49 (David) Looking to generate a P&L type report in a specific format? Finance (Net Income, Net Loss, COGS….): Top to Bottom Plan, Forecast, …Avi: Try Sort By with Disconnected Slicers, Cube Formulas 33:04 (Karen) I'm coming from being a heavy Excel user where you build a flat table with all data needed in a PivotTable. My question is what is the best way to learn how to build data models (multiple tables and relationships) 38:36 (Pamela) Analyze in Excel, can we define measures? 51:47 (Eric) Can we refresh a connection to OneDrive on PowerBI.com? 01:00:03 (Gary) Measure not working (using SUMX/CALCULATE) Links Shared My Book: http://amzn.to/2a8FQSL https://blogs.msdn.microsoft.com/charles_sterling/2017/03/17/red-green-yellow-icons-in-power-bi/ https://powerpivotpro.com/2016/02/data-modeling-power-pivot-power-bi/ http://exceleratorbi.com.au/excel-workbook-connection-local-power-bi-desktop/ https://www.amazon.com/Data-Warehouse-Toolkit-Definitive-Dimensional/dp/1118530802 #PowerBI #TalkPowerBI #PowerBIPro
Read Scripture: Romans Ch. 1-4
Watch our Read Scripture video on the book of Romans, which breaks down the literary design of the book and its flow of thought. Paul shows how Jesus created the new covenant family of Abraham through his death and resurrection and the sending of the Spirit.
Views: 746267 The Bible Project
Read Scripture: John Ch. 1-12
Watch our Read Scripture video on the Gospel of John, which breaks down the literary design of the book and its flow of thought. In John, Jesus becomes human as the incarnation of the creator God of Israel, to share His love and the gift of eternal life with the world.
Views: 780136 The Bible Project
S Anand & Ganes Kesari - Visualising Text
There are a surprisingly large number of techniques for visualising text have emerged in the last five years. Streamgraphs, document arcs, word spectrums, the ever popular word cloud, etc. Combined with traditional analytical techniques like sentiment analysis, statistical improbability, stemming, n-gram Markov chains, etc, we now have powerful ways of summarising and extracting meaning from text. In this session at The Fifth Elephant 2012, S. Anand and Ganes Kesari take the audience through examples of popular text visualisations in an easy-to-understand way, online tools you can use right away, and provide you a starting point to build your own applications to visualise text. The Fifth Elephant is a conference on the big data ecosystem by HasGeek. http://fifthelephant.in/2012 and http://hasgeek.com.
Views: 4639 HasGeek TV
The Epic of Gilgamesh: Crash Course World Mythology #26
This week, we're continuing our discussion of heroes by talking about Gilgamesh, star of one of the earliest written hero stories, The Epic of Gilgamesh. Gilgamesh was a terrible ancient king who left his kingdom seeking adventure, and eventually on the prowl for immortality. Along the way, he checks pretty much all the boxes on the checklist of Joseph Campbell's Hero's Journey. Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Mark, Truman Way, Thomas Frank, Indika Siriwardena, D.A. Noe, Cami Wilson, Khaled El Shalakany, Shawn Arnold, Tom Trval, mark austin, Ruth Perez, Malcolm Callis, Kathrin Janßen, Ken Penttinen, Advait Shinde, Bob Kunz, Nathan Taylor, Eric Prestemon, Les Aker, William McGraw, Andrei Krishkevich, Rachel Bright, Mayumi Maeda, Kathy & Tim Philip, Jessica Wode, Brian Thomas Gossett, Caleb Weeks, Jirat, Tim Curwick, Eric Kitchen, Daniel Baulig, Moritz Schmidt, Ian Dundore, Chris Peters, SR Foxley, Jason A Saslow -- Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashCourse Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 1102395 CrashCourse
Implementing Power BI Data Modeling with Avi Singh
In this follow up session to "Power BI Modeling Best Practices for Business Users" noted Author and Power BI MVP, Avi Singh, will dive into Power BI and walk through some real world scenarios of creating a Power BI Data Model while following the best practices Follow Avi on his YouTube channel: http://youtube.com/powerbipro and follow us on Twitter - https://twitter.com/mspowerbi More questions? Try asking the Power BI Community @ https://community.powerbi.com/
Views: 18205 Microsoft Power BI
Developing and Managing a Business Intelligence Semantic Model in SQL Server  SSAS
MS Business Intelligence SSIS - SSAS - SSRS Tutorial (Videos and Books) Just $14.95 #SSIS #SSAS - #SSRS #msbi http://www.dbmanagement.info/Tutorials/MSBI.htm
Views: 149 dbmanagement. info
Excel 2010: Warrior Series: Getting External Data from Access, The Web, Text and Other Sources
This video is one of many in our Excel 2010 Warriror Series. There are times when the data you wish to manipulate is not in an Excel workbook. The Excel Warrior needs to have knowledge of how to import data from external locations. This includes importing from an Access database, from a Web site, from a text file, or from sources such as an SQL server or XML data file. Learn how to not only import the data, but also how to change the properties of the connection. The Excel Warrior also needs to know how to edit the links between Excel workbooks. Understanding the edit links dialog box will make that process a breeze!
Views: 20969 KnowledgeWave
QDA Miner - Frequency Crosstab
How to quickly display frequencies of numerical and categorical variables.