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        "tagline": "Practical machine learning with scikit-learn, Keras and TensorFlow",
        "summary": "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is a book by Aurélien Géron, published by O'Reilly Media. Its subtitle is Concepts, Tools, and Techniques to Build Intelligent Systems. The 2022 O'Reilly editions in the Open Library record run to about 850 pages.",
        "developer": "O'Reilly Media",
        "author": "Aurélien Géron",
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            "Teaches methods through code",
            "Covers scikit-learn, Keras and TensorFlow",
            "Recent 2022 edition"
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            "Less mathematical depth than the theory texts",
            "No free full text online"
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        "overview": "The book teaches machine learning in Python with three libraries. Scikit-learn covers classical models, and Keras and TensorFlow cover neural networks, so readers see both kinds of method in code. The subtitle frames it as concepts, tools and techniques for building intelligent systems, and the hands-on method is central to how it teaches.\n\nO'Reilly publishes it in print, and the 2022 editions in the Open Library record run to about 850 pages. It is not free to read online. The book gives less mathematical depth than the theory texts in this list, but it is more practical than most of them, which makes it a useful companion to Deep Learning and Probabilistic Machine Learning.",
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            "scikit-learn models",
            "Keras and TensorFlow",
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            "Print edition, about 850 pages"
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