Machine Learning in Action
by Peter Harrington
Should I read this?
appears in Machine Learning, Data Science, and Programming.
The ability to take raw data, access it, filter it, process it, visualize it, understand it, and communicate it to others is possibly the most essential business problem for the coming decades. "Machine learning," the process of automating tasks once considered the domain of highlytrained analysts and mathematicians, is the key to efficiently extr...
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.