To enable the machine learning applications of the future, there remain many interesting and challenging data problems we need to tackle as a community. Ben Lorica discusses some of the pressing problems we’re facing as we collect and store data, particularly in an era when our machine learning models require huge amounts of labeled data.
Ben Lorica is the chief data scientist at O’Reilly. Ben has applied business intelligence, data mining, machine learning, and statistical analysis in a variety of settings, including direct marketing, consumer and market research, targeted advertising, text mining, and financial engineering. His background includes stints with an investment management company, internet startups, and financial services.
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