Jan 1, 2017 · Python Machine LearningThird EditionMachine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2Sebastian RaschkaVahid Mirjalili

In addition to offering hands-on experience with machine learning using the Python programming language and Python-based machine learning libraries, this book introduces the mathematical …

Readers of “Deep Learning with Tensorflow” will learn how to use Tensorflow to build systems capable of detecting objects in images, under‐standing human speech, analyzing video and …

Repository for Machine Learning resources, frameworks, and projects. Managed by the DLSU Machine Learning Group. - MLResources/books/ [ML] Introduction to Machine Learning with …

This book gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. You'll learn the basics by working with classic …

In this chapter, we will explain why machine learning has become so popular and discuss what kinds of problems can be solved using machine learning. Then, we will show you how to build …

Applied machine learning with a solid foundation in theory. Revised and expanded for TensorFlow 2, GANs, and reinforcement learning. Purchase of the print or Kindle book includes a free …

machine learning. Next, we take a deep dive into such supervised machine learning techniques as linear regression, logistic regression, and boosted trees. Finally, we will demonstrate all the …

Stephen Marsland’s Machine Learning: An Algorithmic Perspective (Chapman & Hall) is a great introduction to Machine Learning, covering a wide range of topics in depth with code examples …

Joel Grus, Data Science from Scratch (OReilly). This book presents the funda‐mentals of Machine Learning, and implements some of the main algorithms in pure Python (from scratch, as the …