We've all heard the term "Data Science," but what does it mean? Obviously, it involves both data and science, but doesn't everything? Yes! But it's not as easy as it sounds. Luckily, the authors of this book have swept in to rescue us from this modern-day thought paradox by gently walking us through the maze of research, development, theory, and application that is the world of machine learning and data science. Geared to anyone interested in learning more about this intricate study, this book will help answer your most pressing questions, while opening up the doors of possibility to many more. A must-have for the desk of anyone even remotely involved in research!

Deanna (DeDe) Naomi Schreiber-Gregory, MS
Co-owner, Operations and Finance
Independent Consultant - Statistics & Data Management
Juxdapoze, LLC

A comprehensive and nifty book that takes the reader through the analytics lifecycle, discussing many data science methods, statistical approaches and machine learning techniques. The variety of case studies and tips along the way enhances your knowledge and capability, forming a practical understanding of data science.

Michelle Homes
Metacoda
Australia