Step-by-step hands-on approach enables readers to build intelligent systems from scratch
Includes code examples and exercises for each concept to reinforce learning
Covers both traditional and deep learning techniques for versatile application
Uses production-ready Python libraries such as Scikit-Learn, Keras, and TensorFlow for practical coding
Updated third edition with new techniques and real-world case studies
Summarized by Shop
Through a recent series of 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 bestselling book uses concrete examples, minimal theory, and production-re