The authors use this case study and explain the approach taken by the ultimate winner and why their particular algorithm ended up winning. For those that may remember, Netflix created a competition on the Internet in which the winner would win $1,000,000 if it could improve on the current Netflix recommendation algorithm. The book opens with the story of Netflix and the company’s thirst for improving its recommendation engine to customers. For example, the book is broken down into seven chapters, each with a story, explanation and application – in my opinion very well put together. Whether it is machine learning, conditional probability or AI, these terms are thrown out and replaced with a layman’s explanation coupled with real life examples. Furthermore they link these aspects to historical (and interesting) events thereby truly breaking down the AI walls and buzz words in the industry. My Rating of “AIQ” by Nick Polson and James Scott: 8 / 10Īre you looking to learn the foundational aspects of artificial intelligence, what it really means to our world and the economy? Then this is a good book to read as Nick Polson and James Scott break down the components of AI down.
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