FREE eBOOK | Practical Machine Learning: Innovations in Recommendation

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…

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Free eBook: “Big Data Analytics for Dummies” (By Alteryx)

Big Data Analytics for Dummies is a helpful resource that addresses the practical dilemmas surrounding Big Data and provides a step-by-step approach on how to sidestep common pitfalls and maximize value using analytics applications.

The ebook is free, but you are asked minor contact info in return. Read More…

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Free | 2014 Data Science Salary Survey (Results & More)

For the second year, O’Reilly Media conducted an anonymous survey to expose the tools successful data analysts and engineers use, and how those tool choices might relate to their salary. We heard from over 800 respondents who work in and around the data space, and from a variety of industries across 53 countries and 41 U.S. states. Read More

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Edu-Videos | 100 Most Popular Machine Learning Talks at VideoLectures.Net

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

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Can a PhD Student Use Predictive Analytics to “Beat The Sportsbook”?

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

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Strata + Hadoop World NYC Conf Notes and More…

I attended this year’s Strata + Hadoop World Conference in NYC at the Javit’s Center late last week. There were “boat loads” of speakers, tutorials, and vendors pitching their latest, greatest software, solutions, and hardware to attack the “big data” opportunity.

Here are some notes from the conference and other articles, jobs openings of note from last week. Read More

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