Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. The ramifications to society and even our own humanity will be profound. There are few topics that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a comprehensive and cohesive way. This book is an opinionated take on the developments of Deep Learning AI. One question many have will be how to apply Deep Learning AI in a business context. Technology that is disruptive does not automatically imply that its application to valuable use cases will be apparent. For years, many people could not figure out how to monetize the World Wide Web. We are in a similar situation with Deep Learning AI. The developments may be mind-boggling but its monetization is far from being obvious. This book presents a framework to address this shortcoming.
What I liked: the book does not focus on technology only, but social, economic, etc aspects too.
What I didn’t like: I was expecting more.. The book is a collection of blog posts (with typos), some very interesting, some boring, and some hard to follow. Unfortunately it does not come together into a coherent whole. Furthermore, I understand that the author expects an intermediate level of proficiency in DL from the reader, but from a “playbook” I expected a beginning-to-end journey. I found the USD50 price steep too.
Interesting ideas bogged down by grammatical issues. Any editor worth their salt would have caught these style and structural errors. Some sections are literally incomprehensible.