This first book doesn't seem great. > For example, a common response to the question “how do I get started in deep learning” might be: > Develop a strong groun

This first book doesn't seem great. > For example, a common response to the question “how do I get started in deep learning” might be: > Develop a strong grounding in statistics, probability, linear algebra, multivariate statistics and calculus. > Develop a deep knowledge of modern machine learning algorithms and techniques. > Study and become one with the mathematical theory of each deep learning algorithm and a bunch of related techniques for using them. > Oh and if there is time find a library and start applying deep learning to your problem. > It could take a decade or more to follow this advice and that would be a decade delay that you cannot afford. Those topics are deeply important if you want to be anything more than a coder monkey, and with a decent undergrad education under one's belt (STEM-related) and half a year of dedicated part-time study, they could get up to speed in many - if not all - of those topics. But I guess whatever sells the easiest, a la "Get Rich (Smart) Quick".