Getting into Machine Learning with Buck Woody
Is it time to jump into machine learning? Richard talks to Buck Woody about how he has focused his multi-decade career at the leading edge of using data for business advantage. Buck talks about the differences between business intelligence, data mining, predictive analytics and machine learning. The landscape called Data Science these days is large, but there is lots of opportunities. When you get it right, Data Science represents a huge opportunity for your organization. But it is a young technology now that benefits generalists, and you do need to learn some things. Check the show notes for great places to get started!
Episode 476 of the RunAs Radio podcast, hosted by Richard Campbell, titled "Getting into Machine Learning with Buck Woody" was published on June 8, 2016 and runs 39 minutes.
June 8, 2016 ·39m · RunAs Radio
Summary
Is it time to jump into machine learning? Richard talks to Buck Woody about how he has focused his multi-decade career at the leading edge of using data for business advantage. Buck talks about the differences between business intelligence, data mining, predictive analytics and machine learning. The landscape called Data Science these days is large, but there is lots of opportunities. When you get it right, Data Science represents a huge opportunity for your organization. But it is a young technology now that benefits generalists, and you do need to learn some things. Check the show notes for great places to get started!
Episode Description
Is it time to jump into machine learning? Richard talks to Buck Woody about how he has focused his multi-decade career at the leading edge of using data for business advantage. Buck talks about the differences between business intelligence, data mining, predictive analytics and machine learning. The landscape called Data Science these days is large, but there is lots of opportunities. When you get it right, Data Science represents a huge opportunity for your organization. But it is a young technology now that benefits generalists, and you do need to learn some things. Check the show notes for great places to get started!
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