Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Concepts, Tools, and Techniques to Build Intelligent Systems
This practical book is perfect for programmers interested in delving into the exciting field of machine learning. With concrete examples, minimal theory, and Python frameworks like Scikit-Learn and TensorFlow, the author shows readers how to build intelligent systems capable of learning from data. From simple linear regression to deep neural networks, you'll gain an intuitive understanding of machine learning techniques and architectures while getting hands-on experience through exercises in each chapter. Dive into the machine learning landscape and start building intelligent systems today.
2019-01-01T00:00:00.000ZMastering Ethereum, by Andreas Antonopolous and Gavin Wood, and Hands on Machine Learning with Scikit-Learn & Tensorflow, by Aurélien Géron, are both masterpieces of technical exposition. In addition to helping me keep up with world-changing technology, they remind me what a gift it is to be able to put down knowledge into an artifact – a book – and pass it so effectively to others. The clarity with these authors explain complex topics is a marvel. – source
2020-06-21T00:14:32.000ZHands-on #Jupyter Notebooks covering the Fundamentals of #MachineLearning and #DeepLearning: ———— #BigData #DataScience #Coding #DataMining #Python #DataScientists #AI #TensorFlow #abdsc —— +See also @aureliengeron’s top-rated book: – source