Fundamentals of Deep Learning_ Designing Next-Generation Machine Intelligence Algorithms, 2nd Edition_Nikhil Buduma.pdf

MACHINE LEARNING “This book provides a great way to start off with deep learning, with plenty of examples and well-explained concepts. A perfect book for readers of all levels who are interested in the domain.” —Vishwesh Ravi Shrimali ADAS Engineer Fundamentals of Deep Learning US $69.99 CAN $87.99 ISBN: 978-1-492-08128-7 Twitter: @oreillymedia linkedin.com/company/oreilly-media youtube.com/oreillymedia We’re in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics. The updated second edition of this book describes the intuition behind these innovations without jargon or complexity. Python-proficient programmers, software engineering professionals, and computer science majors will be able to reimplement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best developers in the field. • Learn the mathematics behind machine learning jargon • Examine the foundations of machine learning and neural networks • Manage problems that arise as you begin to make networks deeper • Build neural networks that analyze complex images • Perform effective dimensionality reduction using autoencoders • Dive deep into sequence analysis to examine language • Explore methods in interpreting complex machine learning models • Gain theoretical and practical knowledge on generative modeling • Understand the fundamentals of reinforcement learning Nithin Buduma is a machine learning scientist at Cresta, a leader in the contact center intelligence space. Nikhil Buduma is cofounder and chief scientist of Ambience Healthcare, a San Francisco-based company that makes autonomous technologies for healthcar