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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

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Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications: 18 (Learning and Analytics in Intelligent Systems, 18)

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Recent Trends in Learning From Data: Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019): 896 (Studies in Computational Intelligence, 896)

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Springer Deep Learning: Concepts and Architectures 866 Book

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Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications

A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and Python

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Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems: 1

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Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems: 1

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International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020): Emerging Applications and Technologies for Industry ... (Lecture Notes in Networks and Systems, 254)

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The Hundred-Page Machine Learning Book

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Machine Learning: Theory and Practice

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Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems (Hybrid Computational Intelligence for Pattern Analysis and Understanding)

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Principles and Labs for Deep Learning

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Machine Learning: From the Classics to Deep Networks, Transformers, and Diffusion Models

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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches (Artificial Intelligence AI: Elementary to Advanced Practices)

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Introduction to Deep Learning for Healthcare

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Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines

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Practical Machine Learning for Data Analysis Using Python

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Artificial Intelligence with Python: A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

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Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough: Latest Trends in AI, Volume 2: 956 (Studies in Computational Intelligence, 956)

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Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track: European Conference, ECML PKDD 2020, Ghent, Belgium, ... (Lecture Notes in Computer Science, 12461)

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Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

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