From self-driving cars and recommender systems to speech and face recognition, machine learning is the way of the future. Would you like to learn the mathematics behind machine learning to enter the exciting fields of data science and artificial intelligence? There aren't many resources out there that give simple detailed examples and that walk you through the topics step by step.
This book not only explains what kind of math is involved and the confusing notation, it also introduces you directly to the foundational topics in machine learning. This book will get you started in machine learning in a smooth and natural way, preparing you for more advanced topics and dispelling the belief that machine learning is complicated, difficult, and intimidating.
"Your book is by far the best I’ve found for understanding the derivations of machine learning algorithms. I love that you don’t skip steps and that you provide clear examples."--Robert H.
Preview includes: Table of Contents and first 3 Chapters.
For Paperback version, visit: https://www.amazon.com/dp/172282381X/
For eBook PDF, click "I Want This" below.
You've purchased this product
See it in your libraryView in Library
We charged your card and sent you a receipt
You'll need an account to access this in our app. Please create a password to continue.
Download from the App Store or text yourself a link to the app
Good news! Since you already have a Gumroad account, it's also been added to your library.