concepts, tools, and techniques to build intelligent systems Géron, Aurélien creator text Nonfiction. cc 2017 2017 1st ed. monographic eng

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xx, 543 p: "Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow--author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started" -- Aurélien Géron. Includes index. Machine learning Artificial intelligence COMPUTERS / Computer Vision & Pattern Recognition COMPUTERS / Data Processing COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Natural Language Processing COMPUTERS / Neural Networks Artificial intelligence Machine learning Python 3.0 Automatische Klassifikation Maschinelles Lernen Künstliche Intelligenz Q325.5 .G47 2017 9781491962299 2018418542 YDXCP 190403 20240527123626.0 20916104 eng