My guest for Episode 76 is Eric Siegel, Ph. D., Founder of Machine Learning Week and author of ๐๐๐ ๐ผ๐ ๐๐ก๐๐ฎ๐๐ค๐ค๐ : ๐๐๐จ๐ฉ๐๐ง๐๐ฃ๐ ๐ฉ๐๐ ๐๐๐ง๐ ๐ผ๐ง๐ฉ ๐ค๐ ๐๐๐๐๐๐ฃ๐ ๐๐๐๐ง๐ฃ๐๐ฃ๐ ๐ฟ๐๐ฅ๐ก๐ค๐ฎ๐ข๐๐ฃ๐ฉ.
The theme for the episode is ๐ฃ๐ฟ๐ฒ๐ฑ๐ถ๐ฐ๐๐ถ๐๐ฒ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ - ๐ฃ๐ฎ๐ฟ๐ ๐ฎ.
Eric and I explore the following topics:โฃ
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The inspiration behind his new book
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The missing link between technology and business
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The automation paradox and its relevance to predictive analytics
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The reason few models get deployed into production
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The six steps to machine learning deployment
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Decision trees, logistic regression, Naive Bayes, ensembles, and deep learning
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Business use cases in successful deployment
If you are interested in learning from a global thought leader in predictive analytics, you want to listen to this.
My Website: maverickactuary.com