Going from Idea to Product
by Emmanuel Ameisen
Recommended by Monica Rogati
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See customer reviews on Amazon →Recommended by 1 source.
Learn the skills necessary to design, build, and deploy applications powered by machine learning. Through the course of this handson book, you'll build an example MLdriven application from initial idea to deployed product. Data scientists, software engineers, and product managers with little or no ML experience will learn the tools, best practice...
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Why recommended
Recommended by 1 source.
People and public figures who have recommended this book.
Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.
Monica Rogati
Romanian-American data scientist
“Before starting to code an ML algorithm, spend one hour trying to do its job. Be the algorithm. Learned this early on from @IBMResearch's Salim Roukos. You can read more in the @mlpowered book, which is full of practical ML advice missing from textbooks”
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Consider The Singularity Is Near by Ray Kurzweil. Recommended by 13 sources.
“Kurzweil’s manifesto bombards you with trend lines and bulleted predictions, zooming out to a 2040s where humans merge with machines. The useful part: you get a detailed, almost cinematic vision of a radically altered future—health, energy, intelligence—that’s hard to find elsewhere. The drag: his certainty grates, the prose feels like a sales deck, and the middle chapters recycle the same exponential insight until you’re numb. You’ll either emerge fired up or fed up.”
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.
