Alternatives

Best Hands-On Machine Learning alternatives in 2026

Hands-On Machine Learning is practical machine learning with scikit-learn, Keras and TensorFlow. These 12 alternatives come from the same rankings, ordered by editorial score. Connected products carry a small, disclosed lift.

12 alternatives From best AI and machine learning books How we rank Share

Cover of Hands-On Machine Learning

Ranked alternatives

  1. Deep Learning

    Has a free option. The canonical free textbook for the foundations of deep learning, with the full text online. It predates transformers, so pair it with a current practical guide for modern architectures.

    Best for Foundations of deep learning, free online

    Read online, PrintFree

  2. Probabilistic Machine Learning: An Introduction

    Has a free option. A broad, current treatment of machine learning as probabilistic modeling, with a free draft PDF. It is more mathematical than the practical texts here and newer than Bishop's 2006 book.

    Best for Probabilistic modeling and Bayesian methods

    PDF, PrintFree

  3. Dive into Deep Learning

    Has a free option. Free runnable notebooks in several frameworks make it the most hands-on free option here. It covers less theory than the Goodfellow text, and it has no finished print edition listed.

    Best for Hands-on deep learning with free notebooks

    Read onlineFree

  4. An Introduction to Statistical Learning (Python edition)

    Has a free option. The most approachable text here, with Python labs and a free PDF. It stops short of the mathematics in the Murphy and Bishop books, which suits readers starting out.

    Best for Statistical learning for beginners with Python

    PDF, PrintFree

  5. Deep Learning with Python, Third Edition

    The strongest paid pick for writing deep learning code in Python, with Keras 3 and generative AI in the third edition. It has no free text and less theory than the free books above.

    Best for Practical deep learning code in Python

    PDF, EPUB, PrintPaid

  6. Mathematics for Machine Learning

    Has a free option. Connects the mathematics directly to regression, PCA and support vector machines, with a free PDF. It has few code examples, so it works best alongside a practical text.

    Best for Math behind classic machine learning methods

    PDF, PrintFree

  7. Build a Large Language Model (From Scratch)

    Builds a GPT-style language model step by step, covering attention mechanisms and transformers. It is narrow in scope and paid with no free text, so it complements the general texts here rather than replacing them.

    Best for Building a GPT-style model from scratch

    PrintPaid

  8. Pattern Recognition and Machine Learning

    A Bayesian classic that still explains probability and kernel methods well, but its 2006 date leaves out deep learning. The publisher lists a print edition and no free full text.

    Best for Bayesian foundations of pattern recognition

    PrintPaid

  9. Artificial Intelligence: A Modern Approach

    The broadest book here, covering search, logic, probability and learning across the whole field of AI. It is long and less focused on machine learning than the books above it, and its print edition is costly.

    Best for Broad survey of artificial intelligence

    PrintPaid

  10. Speech and Language Processing (3rd edition draft)

    Has a free option. A free, current draft on language models and transformers, aimed at language and speech work. It is narrower than the general machine learning books and is still changing.

    Best for Language model study with a free draft

    PDF, Read onlineFree

  11. Fringe Learning: Resource-Efficient RL for Edge ML*

    Is a one-time purchase. Covers reinforcement learning on microcontrollers and NPUs in an 86-page PDF, a niche the general books above do not address. It is pay-what-you-want and narrower in scope than the other picks.

    Best for Reinforcement learning on edge hardware

    PDFOne-time purchase

  12. How to Remain Valuable When Intelligence Becomes Cheap*

    A short, low-priced PDF and EPUB on career and economic strategy in an AI-heavy economy, not a machine learning text. It is a general reading option here, and it scores lowest for the topic.

    Best for Career strategy in an AI-heavy economy

    PDF, EPUBPaid

About Hands-On Machine Learning alternatives

What is the best alternative to Hands-On Machine Learning?
On listme.name the highest-scored alternative is Deep Learning, followed by Probabilistic Machine Learning: An Introduction. The right choice depends on price, platform and whether you need open source.
Is there a free alternative to Hands-On Machine Learning?
Yes. Free options include Deep Learning, Probabilistic Machine Learning: An Introduction, Dive into Deep Learning.

Made by, or connected to, the publisher of this site or people the publisher works with. Listed on the same criteria as everything else, with the lift described in How we rank and Disclosure.