Who Publishes The Best Book Machine Learning In 2023?

2025-08-16 17:35:04 317

5 Answers

Flynn
Flynn
2025-08-17 18:28:57
I’m a data scientist who reads ML books like they’re going out of style, and 2023 has been a wild year for releases. Packt Publishing has been on fire with titles like 'Machine Learning Engineering with Python', which is perfect for mid-level engineers looking to scale their skills. Manning’s 'Deep Learning with Python, Second Edition' is another gem—super approachable yet packed with advanced insights. If you’re into cutting-edge research, Springer’s conference-based compilations are gold. Honestly, the 'best' publisher depends on your goal: Packt for practicality, Manning for balance, Springer for academia.
Abigail
Abigail
2025-08-18 05:06:49
O'Reilly Media continues to be a powerhouse with their hands-on, practical approach—'Machine Learning for Absolute Beginners' by Oliver Theobald is a standout for its clarity.

But I’ve also found No Starch Press to be killing it with more niche, experimental stuff like 'Machine Learning with PyTorch and Scikit-Learn'. Their ability to break down complex concepts without dumbing them down is unmatched. For academic depth, MIT Press’s 'Deep Learning: Foundations and Concepts' is a beast of a book, but worth every page if you’re serious about the theory. Each publisher has its strengths, depending on whether you want practicality, creativity, or rigor.
Faith
Faith
2025-08-18 10:48:14
2023’s ML bookshelf is stacked, but if I had to pick one publisher, I’d cheat and say it’s a tie. O’Reilly nails the beginner-to-intermediate range, while MIT Press dominates theory. No Starch Press fills the gap with quirky, project-based learning. For example, 'Machine Learning for Hackers' is pure fun—like a lab manual for your brain. Different vibes, but all top-tier in their lane.
Neil
Neil
2025-08-19 10:56:21
For indie authors and smaller presses, 2023 was a sleeper hit year. 'Probabilistic Machine Learning' by Kevin Murphy (published by MIT Press) is my top pick—it’s dense but rewarding. Meanwhile, Pragmatic Bookshelf’s 'Machine Learning in Action' surprised me with its real-world project focus. I lean toward these titles because they ditch fluff for substance. If you want a publisher that respects your time, Pragmatic and MIT Press are where it’s at.
Emmett
Emmett
2025-08-20 09:55:26
As a ML hobbyist, I gravitate toward books that don’t make me feel lost by chapter two. O’Reilly’s 'Practical Machine Learning for Computer Vision' was my 2023 favorite—it’s like having a mentor in paperback form. I also adored 'The Hundred-Page Machine Learning Book' by Andriy Burkov (self-published!). Sometimes, the best insights come from outside traditional publishers. Burkov’s book proves that concise doesn’t mean shallow. For beginners, stick with O’Reilly; for bold minimalism, go indie.
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