Result: Hands-On machine learning with scikit-learn, keras, and tensorFlow : concepts, tools, and techniques to build intelligent systems

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.Explore the machine learning landscape, particularly neural netsUse Scikit-Learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural nets ; Gracias a una serie de avances recientes, el aprendizaje profundo ha impulsado todo el campo del aprendizaje automático. Ahora, incluso los programadores con conocimientos mínimos sobre esta tecnología pueden usar herramientas sencillas y eficientes para implementar programas capaces de aprender de los datos. Este libro práctico te muestra cómo. Mediante ejemplos concretos, teoría minimalista y dos frameworks de Python listos para producción (Scikit-Learn y TensorFlow), el autor Aurélien Géron te ayuda a comprender intuitivamente los conceptos y las herramientas para construir sistemas inteligentes. Aprenderás diversas técnicas, desde la regresión lineal simple hasta las redes neuronales profundas. Con ejercicios en cada capítulo para ayudarte a aplicar lo aprendido, todo lo ...