The goal of this book is to provide the developers of today and tomorrow with the resources they will need to better comprehend, assess, and influence machine learning.
If you don't already have one, it will set you up with a Python programming environment, and then in the chapter "An Introduction to Machine Learning," it will provide you with a conceptual knowledge of machine learning. Three Python machine-learning projects are presented next. They will assist you with developing a machine learning classifier, a neural network to recognize handwritten digits, and an Atari bot that will give you a background in deep reinforcement learning.
Pick up this book if you are interested in using deep learning and machine learning and you know a little Python. This is a crucial tool whether you want to learn machine learning from scratch or advance your existing skills.
This book is a great resource for anyone looking to teach computers how to learn from data. It was written for developers and data scientists who want to write useful machine learning and deep learning code.
