## An Executive Primer to Deep Learning

An Executive Primer to Deep Learning Circa 1997, the reigning world chess champion Garry Kasparov was against an

Read moreAn Executive Primer to Deep Learning Circa 1997, the reigning world chess champion Garry Kasparov was against an

Read moreTop Trends in AI in 2018 According to Gartner’s hype cycle of emerging technologies, 2017; Deep Learning and

Read moreData Science Simplified Part 11: Logistic Regression In the last blog post of this series, we discussed classifiers. The categories

Read moreData Science Simplified Part 10: An Introduction to Classification Models Webster defines classification as follows: A systematic arrangement

Read moreData Science Simplified Part 9: Interactions and Limitations of Regression Models In the last few blog posts of

Read moreData Science Simplified Part 8: Qualitative Variables in Regression Models The last few blog posts of this series

Read moreData Science Simplified Part 7: Log-Log Regression Models In the last few blog posts of this series, we

Read moreData Science Simplified Part 6: Model Selection Methods In the last article of this series, we had discussed

Read moreData Science Simplified: Key Concepts of Statistical Learning In the first article of this series, I had touched upon

Read moreData Science Simplified: Principles and Process In 2006, Clive Humbly, UK Mathematician, and architect of Tesco’s Clubcard coined

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