Data Science in Layman's Terms: Machine Learning Contributor(s): Lincoln, Nicholas (Author), Pro_ebookcovers |
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ISBN: 0578575892 ISBN-13: 9780578575896 Publisher: Nicholas Lincoln OUR PRICE: $56.99 Product Type: Hardcover - Other Formats Published: September 2019 |
Additional Information |
BISAC Categories: - Mathematics | Probability & Statistics - General - Computers | Data Processing - Business & Economics | Statistics |
Physical Information: 1.19" H x 8.5" W x 11" (3.42 lbs) 552 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Machine learning has been one of the fastest growing fields over the last decade. Machines that can learn are becoming a part of our everyday lives. Machines that display intelligence and the ability to learn are powered by mathematics and algorithms. These topics do not have to be difficult. This book teaches a basic understanding of everything related to machine learning, so that beginner or intermediate level data scientists can expand their skills sets, and so that curious intellectuals can gain an understanding of the field. This book provides a complete overview of machine learning. It builds on the information presented by its predecessor, Data Science in Layman's Terms: Statistics. The book strikes a balance between an easy-reading tutorial and a theory intensive textbook, by first presenting the ideas, conceptually, at a high level, and then diving into the details and mathematics. Every chapter is accompanied by practical examples with Python, and R where applicable. The material in the first half of the book is arranged linearly, where each chapter builds on the knowledge of the previous chapters. The second half of the book explores subfields of machine learning, like natural language processing, computer vision, reinforcement learning, and network science. Some of the practical applications you will learn from this book are how to: The GitHub repository accompanying this book can be found at: https: //github.com/nlinc1905/dsilt-ml-code |