Machine learning involves developing and training models to predict future outcomes. This book is a practical guide to all the tips and tricks related to machine learning. It includes hands-on, easy-to-access techniques on topics such as model selection, performance tuning, training neural networks, time series analysis, and a lot more.
This book has been tailored toward readers who want to understand not only the concepts behind machine learning algorithms, but also the mathematics behind them. However, we have tried to strike a balance between these two.
If you’re a machine learning practitioner, data scientist, machine learning developer, or engineer, this book will serve as a reference point for building machine learning solutions. You will also find this book useful if you’re an intermediate machine learning developer or data scientist looking for a quick, handy reference to all the concepts of machine learning. You’ll need some exposure to machine learning to get the best out of this book.