
Machine Learning for Hackers
Case Studies and Algorithms to Get You Started
by Drew Conway
Should I read this?
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...
Looking for Kindle, hardcover, paperback, or audiobook editions?
Check formats, pricing, and current availability directly.
Why recommended
appears in Machine Learning, Data Science, and Programming.
Recommendation Signals
Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.
No verified recommendation proof available yet.
Appears In
Not sure if this is the right fit?
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.”
Similar books
AI Superpowers
Kaifu Lee
Python Machine Learning
Sebastian Raschka
Competing in the Age of AI
Marco Iansiti
Deep Learning
Ian Goodfellow
Human Compatible
Stuart Russell
All Gifts, Bestowed
Joshua Gayou
Superintelligence
Nick Bostrom
Artificial Intelligence,
Stuart RussellHow recommendation signals are reviewed
Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.
