Life & fun · alternatives · 2026
24 alternatives to ML From Scratch – free online textbook
ML From Scratch is a free online textbook covering machine learning fundamentals. It explains core concepts and algorithms from first principles, making it accessible to learners building foundational knowledge in the… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. ML From Scratch – free online textbook launched in 2020; newer entries below may have overtaken it.
- 1MM
2020 · mlpowered.com · its alternatives →
- 2ML
2011 · eferm.com · its alternatives →
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ML Console is a free tool to build an AI model without writing a single line of code. Simply pick a column to predict, and let us handle the rest.
2021 · mlconsole.com · its alternatives →
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Machine learning for mobile developers
2018 · developers.google.com · its alternatives →
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A Plain English Introduction to Machine Learning
2017 · amazon.com · its alternatives →
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Contribute to xadrianzetx/fullstack.ai development by creating an account on GitHub.
2019 · github.com · its alternatives →
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- 12OS
2021 · rentruewang.github.io · its alternatives →
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Machine learning made easy for developers of any skill level
2015 · aws.amazon.com · its alternatives →
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Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch. - ml-from-scratch-book/code
Jun 2026 · github.com · its alternatives →
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GoLearn▲81Machine Learning for Go. Contribute to sjwhitworth/golearn development by creating an account on GitHub.
2014 · github.com · its alternatives →
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Data Science and Python, starting at zero
2015 · joelgrus.com · its alternatives →
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python notebooks for revising machine learning basics - paruby/ml-basics
2018 · github.com · its alternatives →
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Machine Learning library for Rust. Contribute to AtheMathmo/rusty-machine development by creating an account on GitHub.
2016 · github.com · its alternatives →
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I'm a machine learning engineer who always found it annoying to integrate ML models into phone apps, smartwatch apps, microcontroller firmware etc... Why do we need all these libraries and runtimes with all the overhead, compatibility issues and other headaches, when it's just some math to be executed? So I made a compiler that simply converts the model into plain source code with no dependencies, and it actually solved all my deployment problems. Now I'm curious if it can help anyone else too. Through the link you can submit your model file (Keras h5, onnx soon to be supported), and I'll…
2023 · waveworks.dk · its alternatives →
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A practical guide for anyone looking to use Machine Learning in their own projects. Download for free ($49 on Amazon).
2014 · louisdorard.com · its alternatives →
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A practical book on Data Analysis with Rust Notebooks that teaches you the concepts and how they’re implemented in practice.
2020 · datacrayon.com · its alternatives →
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Unlock your knowledge in machine learning
2023 · miguelanticonam.gumroad.com · its alternatives →
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How to implement the various methods in real life settings
2016 · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →