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“This book is a tour de force through the scientific aspects of AI by a group of impressive young authors. I strongly recommend it.” – Bernard Widrow, Prof. Emeritus of electrical engineering, Stanford University.

“We live in a golden age of machine learning with so many inventions happening and so much more left to do. At this juncture, it is of critical importance that machine learning is understood and accessible to students from all backgrounds and perspectives. It is exciting to see high school students such as Siddharth and those at StartOnAI putting in the effort to help bridge the gap in demystifying machine learning for high school students.”-Dr. Swami Sivasubramanian, VP of Amazon Web Services AI, Amazon.

A Guide to Machine Learning, Deep Learning, and their Applications acts as a comprehensive guide to the innovative fields of machine learning and deep learning. The tutorial-style prose allows the reader to explore the topics from scratch and to broaden their knowledge of the theory and for practical understanding. By the time you are finished with this book, you will be confident with your knowledge of what machine learning is and how state-of-the-art algorithms can be utilized to solve real-world problems. Whether you are a student (high school, undergraduate, or graduate) or data scientist, this book will supplement your current knowledge with rigorous yet practical tools to break down machine learning and familiarize yourself with best practices used in the industry. About Machine Learning: In today’s world, machine learning is becoming increasingly ubiquitous as the forefront methods for pattern recognition. These techniques require input data and allow the computer to learn from experience. Through the recent advances in data science software and the availability of libraries, it is now possible for students, developers, and scientists to get familiar with creating their own programs that are capable of learning from the data.
Deep learning is the fastest-growing subset of machine learning and is loosely inspired by biological neural networks. Now you may be wondering, why this book in particular? This book serves as a guide for both beginners and users of machine learning to become more familiar with the fields on both a theoretical basis and through a hands-on, practical example-based approach. Unlike other books on the subject, we use efficient, grounded tools to demonstrate the power of machine learning while guiding the reader from the fundamentals of data science and mathematics towards state-of-the-art algorithms and modern developments in the field. What’s special about this book is that the applications are at the center of the content and detailed commentary is present in every chapter. We also prioritize high-level, concrete explanations over less intuitive pathways to understanding. Moreover, this book was written by students and is for students. With just knowledge of high school mathematics, readers can follow along. This book builds understanding through intuitive explanations and direct applications. Through this content, you will learn the challenging yet elegant concepts of the field. All proceeds from the sale of this book will go to charities such as GirlsWhoCode and Hope Services.

ASIN ‏ : ‎ B08C96165Y
Publisher ‏ : ‎ Independently published
Publication date ‏ : ‎ July 2, 2020
Language ‏ : ‎ English
Print length ‏ : ‎ 283 pages
ISBN-13 ‏ : ‎ 979-8655955660
Item Weight ‏ : ‎ 1.87 pounds
Dimensions ‏ : ‎ 8.27 x 0.64 x 11.69 inches