Why 2016 is not like 1964 and 1972

Why 2016 is not like 1964 and 1972 Posted by Andrew on 31 August 2016, 10:40 pm Nadia Hassan writes: I saw your article in Slate. For what it’s worth, this new article, “Ideologically Extreme Candidates in U.S. Presidential Elections, 1948–2012,” by Marty Cohen, Mary McGrath, Peter Aronow, and John Zaller, looks at ideology-based extremism and finds weak effects of ideology.…
Original Post: Why 2016 is not like 1964 and 1972

Mapping Traffic Fatalities

On Monday, August 29, DJ Patil, the Chief Data Scientist in the White House Office of Science and Technology Policy, and Mark Rosekind, the Administrator of the National Highway Traffic Safety Administration (NHTSA), announced the release of a data set documenting all traffic fatalities occurring in the United States in 2015. As part of their release, they issued a “call…
Original Post: Mapping Traffic Fatalities

Top KDnuggets tweets, Aug 24-30: #DataScientist – sexiest job of the 21st century until …; Activation Function in #NeuralNetworks.

Cartoon: #DataScientist – sexiest job of the 21st century until …; What is the Role of the Activation Function in Neural Networks?; LinkedIn Machine Learning team tutorial on building #Recommender system; Create a #Chatbot for #Telegram in #Python to Summarize Text.Most popular @KDnuggets tweets for Aug 24-30 wereMost Retweeted:The rise of #ArtificialIntelligence – almost $1B in funding as on June…
Original Post: Top KDnuggets tweets, Aug 24-30: #DataScientist – sexiest job of the 21st century until …; Activation Function in #NeuralNetworks.

Learning from Imbalanced Classes

Imbalanced classes can cause trouble for classification. Not all hope is lost, however. Check out this article for methods in which to deal with such a situation. By Tom Fawcett, Silicon Valley Data Science. If you’re fresh from a machine learning course, chances are most of the datasets you used were fairly easy. Among other things, when you built classifiers,…
Original Post: Learning from Imbalanced Classes

Booking: Data Scientist – Machine Learning

Booking.com is looking for rock star Data Scientists to add to join their highly successful Personalization Team, crunching data and providing customers with the most relevant personalized recommendations. Company: Booking.comLocation: Amsterdam, NetherlandsWeb: www.booking.comPosition: Data Scientist – Machine Learning_Contact_:Apply online. Would you like to translate terabytes of data into unforgettable holidays for millions of people around the globe? Booking.com, the world’s…
Original Post: Booking: Data Scientist – Machine Learning

Booking: Data Scientist – Analytics

Booking.com is seeking data savvy professionals to join their team of data scientists, to work with stakeholders throughout the company to generate understanding, strategy and suggest actions based on data. Company: Booking.comLocation: Amsterdam, NetherlandsWeb: www.booking.comPosition: Data Scientist – Analytics_Contact_:Apply online. Booking.com is looking for data savvy professionals to join our team of data scientists. You will be working with stakeholders…
Original Post: Booking: Data Scientist – Analytics

Revolutions

RevolutionsTelco Customer Churn with R in SQL Server 2016Video series: Introduction to Microsoft R ServerBecause it’s Friday: The font of Stranger ThingsMicrosoft R Open 3.3.1 now available for Windows, Mac and LinuxR with Power BI: Import, Transform, Visualize and ShareDeep Learning Part 2: Transfer Learning and Fine-tuning Deep Convolutional Neural NetworksEdward Tufte Keynote Presenter at Data Science Summit, Sep 26-27Five…
Original Post: Revolutions

How Convolutional Neural Networks Work

Previous post            Tweet Tags: Brandon Rohrer, Convolutional Neural Networks, Image Recognition, Neural Networks Get an overview of what is going on inside convolutional neural networks, and what it is that makes them so effective. By Brandon Rohrer, Microsoft. pdf [2MB]         ppt [6MB] Nine times out of ten, when you hear about deep learning…
Original Post: How Convolutional Neural Networks Work

forcats 0.1.0 🐈🐈🐈🐈

If you use packages from the tidyverse (like tibble and readr) you don’t need to worry about getting factors when you don’t want them. But factors are a useful data structure in their own right, particularly for modelling and visualisation, because they allow you to control the order of the levels. Working with factors in base R can be a little frustrating because…
Original Post: forcats 0.1.0 🐈🐈🐈🐈