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ciaburro g python machine learning cookbook 2ed 2019

Type:: E-books
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Size:: 19.0 MB
Uploaded On:: Sept. 7, 2019, 7:13 a.m.
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Info Hash:: BA7CC062730081811B89F42B358B30D61B03052A

Textbook in PDF format Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch ! Key Features Learn and implement machine learning algorithms in a variety of real-life scenarios. Cover a range of tasks catering to supervised, unsupervised and reinforcement learning techniques. Find easy-to-follow code solutions for tackling common and not-so-common challenges. This eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to dealing with real-world machine learning and deep learning tasks. With the help of over 100 recipes, you will learn to build powerful machine learning applications using modern libraries from the Python ecosystem. The book will also guide you on how to implement various machine learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach. With emphasis on practical solutions, dedicated sections in the book will help you to apply supervised and unsupervised learning techniques to real-world problems. Toward the concluding chapters, you will get to grips with recipes that teach you advanced techniques including reinforcement learning, deep neural networks, and automated machine learning. By the end of this book, you will be equipped with the skills you need to apply machine learning techniques and leverage the full capabilities of the Python ecosystem through real-world examples

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Ciaburro G. Python Machine Learning Cookbook 2ed 2019.pdf 19.0 MB

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ciaburro g python machine learning cookbook 2ed 2019

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