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Machine Learning for Hackers

Machine Learning for Hackers

Case Studies and Algorithms to Get You Started

by Drew Conway

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appears in Machine Learning, Data Science, and Programming.

If you?re an experienced programmer interested in crunching data, this book will get you started with machine learning?a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of handson case studi...

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appears in Machine Learning, Data Science, and Programming.

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Appears In

AI Superpowers
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Consider AI Superpowers by Kaifu Lee. Recommended by 20 sources.

This book reads like a well-connected technologist’s urgent TED talk, blending personal career story, startup anecdotes, and macro predictions. What works best is a clear, alarm-bell view of China’s rapid AI rise and the coming job displacement, with tangible data and sector breakdowns. You’ll likely find it useful as a conversation starter or trend snapshot. But it often oversimplifies complex geopolitical and ethical tensions into a binary rivalry, and the determined optimism can feel boosterish. The tone may grate if you prefer nuanced, academic treatments or worry about the author’s business interests shaping the narrative.

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Machine Learning for Hackers

Machine Learning for Hackers

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