Part 1: Fundamentals of Machine Learning

Part 2: End-to-End Machine Learning Project

Part 3: Classification Techniques

Part 4: Training Models

Part 5: Support Vector Machines

Part 6: Decision Trees

Part 7: Ensemble Learning and Random Forests

Part 8: Introduction to Artificial Neural Networks

Part 9: Deep Learning with TensorFlow

Part 10: Techniques for Training Deep Neural Networks

Hands-On Machine Learning with Scikit-Learn and TensorFlow is a comprehensive guide to the practical understanding and implementation of machine learning algorithms. It uses Python libraries - Scikit-Learn and TensorFlow for teaching concepts and techniques, giving readers a hands-on approach to this emerging field.

technology

non_fiction

Hands-On Machine Learning with Scikit-Learn and TensorFlow