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Data Science 101: Machine Learning – The Basics

The next installment of insideBIGDATA’s Data Science 101 series comes from our friends over at LinkedIn.

Predictive Analytics for the Masses – Data Science-as-a-Service

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In this special guest feature, Justin Shriber of C9 advises how data science as a service opens many doors previously closed to companies wishing to capitalize on the power of predictive analytics.

Dr. Max Kuhn Interviewed at useR! Conference

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In the presentation below, data scientist, author (“Applied Predictive Modeling” with Kjell Johnson) and R caret package developer Max Kuhn sits down for an in-depth interview with Eduardo Arino de la Rubia sponsored by our friends over at DataScience.LA. They discuss the art and science of predictive modeling in the real world, the multifaceted and […]

Data Science 101: Using Statistics to Predict AB Testing

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The talk below presents simple methods that can accurately predict future performance from AB test results, and that allow you to determine the smallest acceptable sample size. Using four years of AB testing data, you’ll see how these methods really work.

GraphLab Morphs into Dato with $18.5 Million in Funding

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GraphLab announced it closed an $18.5 million Series B funding round led by Vulcan Capital with participation from Opus Capital and existing investors New Enterprise Associates (NEA) and Madrona Venture Group. The company has also changed its name and brand from GraphLab to Dato, reflecting the evolution of its popular machine learning platform which now enables the creation of intelligent applications based on any type of data, including graphs, tables, text and images.

Fuzzy Logic Is Key to Connected Health

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In this special guest feature, Sunil Koduri of Zsolutionz sheds light on how fuzzy logic can add value to the immense amount of data collected by wearable devices.

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.

Ask a Data Scientist: Becoming a Data Scientist

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This is the last of our reader submitted questions of varying levels of technical detail answered by a practicing data scientist. This week’s question is from a reader who asks about becoming a data scientist.

Are Data Scientists Overrated? No, But Their Role is Evolving

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In this special guest feature, Daniel Nieten of Red Lambda lends his perspective on the evolving role of the data scientist and where these skill-sets are required. Daniel Nieten is CTO of Red Lambda, a technology company that has developed a next generation IT security and analytics solution for Big Data environments.