Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow

Updated and expanded 3rd edition of the bestseller on TensorFlow and Deep Learning. Now covers many new features of Scikit-Learn as well as the Keras Tuner library and the NLP library Transformers from Hugging Face. It methodically introduces you to the basics of Machine Learning with Scikit-Learn and builds on that to teach Deep Learning techniques with Keras and TensorFlow. With numerous exercises and solutions. Breakthroughs in Deep Learning have significantly advanced machine learning in recent years. Now, even programmers with little knowledge of this technology can implement machine learning programs using simple, efficient tools. This hands-on book, now updated and further expanded, shows you how. With concrete examples, minimal theory, and immediately applicable Python frameworks – Scikit-Learn, Keras, and TensorFlow – Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for developing intelligent systems. You will learn a variety of techniques, starting from simple linear regression to deep neural networks. The exercises included in each chapter help you put what you've learned into practice. To get started, you only need some programming experience.