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The GPU Technology Conference

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March is a beautiful month to visit Silicon Valley, so why not register and book your trip now to the upcoming GPU Technology Conference (GTC) happening March 17-20, 2015 at the San Jose Convention Center. GTC is the most important event for GPU developers and computational scientists.

Data Science 101: Lessons Learned from Kaggle Competitions

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In the video presentation below, “Machine learning best practices we’ve learned from hundreds of competitions,” Ben Hamner, Chief Scientist at Kaggle, discusses some very intriguing insights into how find success in data science projects.

Interview: Szilard Pafka, Data Scientist

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The Los Angeles data science Meetup scene is booming in large part due to the efforts of a local data scientist, Szilard Pafka. In the interview below, Szilard discusses his background in the field, the genesis of his many Meetup groups, the LA tech industry, and his plans to make his Meetups even more successful.

The Rise of Data Science in the Age of Big Data Analytics

Data Science is the key to unlocking insight from Big Data: by combining computer science skills with statistical analysis and a deep understanding of the data and problem we can not only make better predictions, but also fill in gaps in our knowledge, and even find answers to questions we hadn’t even thought of yet.

The Future of AI – A Fireside Chat by Yann Lecun, Facebook

In the thought-provoking video below, Professor Yann LeCun, Director of AI Research at Facebook, sat down for a fireside chat at December 2014’s edition of Data Driven NYC to discuss deep learning and the future of artificial intelligence.

Ask a Data Scientist: Ensemble Methods

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who asks about ensemble methods and how you use them.

Ask a Data Scientist: Confounding Variables

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who asks for an explanation of confounding variables and why they’re important in data science projects.

Ask a Data Scientist: Data Leakage

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing data scientist – sometimes by me and other times by an Intel data scientist. This week’s question is from a reader who asks for an explanation of data leakage.

Sentient Technologies Raises $103.5 Million in Series C Funding

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Sentient Technologies, a company seeking to solve the world’s most complex problems through massively scaled artificial intelligence, today announced it has raised $103.5 million in Series C funding that brings the total investment in Sentient to more than $143 million.

Data Science 101: Support Vector Machines

Support Vector Machines (SVM) is an important and widely used machine learning algorithm. In order to fully understand SVMs, you need to have a fundamental understanding of how the statistical learning method functions. Here is a useful lecture on SVM coming from MIT OpenCourseware.