Applied Artificial Intelligence for Business Leaders by Mariya Yao, Adelyn Zhou, and Marlene Jia is the book to get for anyone who wants to get a hand on how AI is shaping the business landscape today. Specifically, business owners who are interested in AI will find Applied Artificial Intelligence an excellent resource! It is a quick read and useful guide with densely packed information for business leaders looking to understand more about artificial intelligence for business, enterprise applications, and recommended implementation strategies. It helps the reader clarify a lot of AI terminology and clarify common errors with data and machine learning. It also comes highly recommended as an informative book suitable for both technical and non-technical business executives!

Today's top companies undergo the most significant transformation since industrialization. Artificial Intelligence disrupts industries, the way we work, think, interact. Gartner predicts that by 2020 AI will create 2.3 million jobs, while eliminating 1.8 million. Machine Learning is what drives AI. Experts in this domain are rare, employers fight for the ML-skilled talent.

"This book provides a great practical guide to get started and execute on ML within a few days without necessarily knowing much about ML apriori. The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue. A wonderful book for engineers who want to incorporate ML in their day-to-day work without necessarily spending an enormous amount of time going through a formal degree program."--Deepak Agarwal, VP of Artificial Intelligence at LinkedIn "This book is a great introduction to machine learning from a world-class practitioner and LinkedIn superstar Andriy Burkov. He managed to find a good balance between the math of the algorithms, intuitive visualizations, and easy-to-read explanations. This book will benefit the newcomers to the field as a thorough introduction to the fundamentals of machine learning, while the experienced professionals will definitely enjoy the practical recommendations from Andriy's rich experience in the field."--Karolis

I've been learning machine learning for the past two years now, these books have all been instrumental throughout. The Hundred-Page Machine Learning Book (buy) - https://bit.ly/100pagemlbook The Deep Learning Book (buy) - https://amzn.to/2YIsGok The Hundred-Page Machine Learning Book Review - https://youtu.be/btLxTTkSZuY Get email updates on my work - https://bit.ly/mrdbourkenewsletter

This is the supporting wiki for the upcoming book The Hundred-Page Machine Learning Book by Andriy Burkov. The wiki contains pages that extend some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources. This book is distributed on the "read first, buy later" principle. I strongly believe that paying for the content before consuming it is buying a pig in a poke. You can see and try a car in a dealership before you buy it.

You wrote "Writing a technical book is a profoundly uneconomic project." I think this is true if you go with traditional publishers. My last book, self-published and available for free to DSC members, also 100 pages, is better, more original, and more useful than whatever Wiley publishes on this topic (of course this is my biased opinion.) It also took less than 30 hours to write, and while being free, the benefit it generates is far above zero.