Listen to O’Reilly Podcast: Claudia Perlich, Chief Scientist @ Dstillery on “Big Data in Advertising” and how machine learning is impacting advertising. Read More
Machine learning is a subfield of computer science and artificial intelligence that deals with the construction and study of systems that can learn from data, rather than follow only explicitly programmed instructions (wikipedia).
If you are thinking of doing or becoming a Data Scientist or Advanced Analytics professional, you will absolutely need to master Machine Learning. These 100 Most Popular Talks on Machine Learning topics are a great resource to learn. Review List
Watch 2 Lectures on building Recommender Systems using Machine Learning given by the Director of Research/Engineering at Netflix at Carnegie Mellon University this Summer.
Its 2 parts at 2 hours each, touches on what is practical and important, and worthwhile if you have an interest in personalization and recommender algorithms. Watch Lectures
(Repost) Vaclav Petricek, Principal Data Scientist, at eHarmony explains how they take the data and what they do with it to make eHarmony one of the best dating sites online today. Read More…
Watch the most recent talk at the popular Data Skeptics Meetup in NYC, by Claudia Perlich, Chief Data Scientist at Dstillery on the topic of “All the Data and Still Not Enough”. Watch Video
Watch a video course call “Introduction to Deep Learning” taught in 2015 at the University of Oxford by Nando de Freitas. Watch Video
Free eBook “Practical Machine Learning: Innovations in Recommendations”
In this guide, Practical Machine Learning: Innovations in Recommendation, authors and Mahout committers Ted Dunning and Ellen Friedman shed light on a more approachable recommendation engine design and the business advantages for leveraging this innovative implementation style. Read More…
UPDATED: The Data Science Report has created a new section “PhD PREDICTION PROJECTS!” In this section we are going to profile interesting predictive analytics projects by “up and coming” PhD and Masters students/recent grads.
Our first project looks at Eric Chalmer’s computer model that uses Machine Learning to predict the outcome and how much to wager on MMA/UFC fights. While initially a hobby, his algo’s have performed remarkably well (total return of 160%+) during the first 10 months and we’re tracking his predictions here. Read More
Hope everyone is enjoying their weekend. Here are our TOP 10 Data Science/Analytics Job Openings & Articles/Videos for this week ending 10/5/14. Enjoy!
Hakka Labs has a very compelling video of Dr Chris Wiggin’s, Chief Data Scientist at the NYTimes and Columbia University Academic. He will talk about using machine learning and large data in both academia and in business.
He shares some ways re-framing domain questions as machine learning tasks has opened up new avenues for understanding both in academic research and in real-world applications. Read More