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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Edu-Videos | Learn All About Apache Spark (100x Faster than Hadoop MapReduce)

Apache Spark is an open-source data analytics cluster computing framework originally developed in the AMPLab at UC Berkeley. Spark fits into the Hadoop open-source community, building on top of the Hadoop Distributed File System (HDFS). However, Spark promises performance up to 100 times faster than Hadoop MapReduce for certain applications…and that’s why you should care!

Spark’s in-memory cluster computing is very well suited to machine learning algorithms. These Videos will give you a nice introduction to Spark, how it’s being used in business and why you should care…Watch Videos…

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Edu-Video |”Building a Production Machine Learning Infrastructure” – Josh Wills /Dir. Data Scientist

(Reposted due to popular demand) Another great video from Josh Wills. Josh is Sr. Director of Data Science at Cloudera and has a gift for making fairly complicated technology explanations very digestible to the novice and intermediary techie.

What I most love about this video is how Josh explains -very clearly – the issue of translating analytics Machine Learning on a large set of data records (many individuals) and making it work well in a “real life” production environment on a single individual (think eCommerce). Watch Video

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Hakka Labs| Computational Biology and Data Science at the New York Times

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

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Edu-Video | Dr. Jerry Smith explores how data science is impacted by the “Deep Web”

In this “Data Skeptics Meetup” Video, Dr Jerry Smith, Chief Data Scientist at Capgemini Advanced Digital Intelligence and Data Science & Analytics, explores how data science is impacted by one of the most complex data sets of all times, the deep web.

In this talk you will learn about what the Deep Web is, Open Source Intelligence, and how the “bad guys” are using it orchestrate violence. Read More

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