Top 10 AI and Machine Learning Books for Business Leaders
Analytics Insight brings the list of the Must-Read Books for aspiring Business Leaders
You have a big dream of becoming a successful entrepreneur. You have Capital, Finance, intelligence but all your lacking is resources to learn, seek and manifest your burning desire of hailing the business world, then don’t worry buddy, you always got our back!
Analytics Insight after extreme research and analysis brings to you the Top 10 Machine Learning books for business leaders-
1. Applied Artificial Intelligence: A Handbook for Business Leaders
Applied Artificial Intelligence gives you a great framework of AI and machine learning with examples that were incredibly useful. It’s an informative and useful guide to understanding and implementing AI solutions in an organization and covers both technical and non-technical topics. If you want to expand your knowledge of AI in business this book quickly provides an overview of the field, giving enough explanation of the inner workings of AI to provide a qualitative understanding.
2. Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data-Driven Technologies-
Artificial Intelligence and Machine Learning for Business is a quick read that delivers a simple and concise introduction for both business people and managers. It is written in a straightforward manner. Complex AI terms and concepts, predictive analytics, statistics, and so on are clearly laid out in everyday language.
The book is well-written, concise, and engaging and a perfect read for both technical and non-technical audiences alike. If you are a data scientist, the book teaches you how to frame your project properly, set the right expectations for success, and how to effectively translate your business questions, and more.
3. AI Superpowers: China, Silicon Valley, and the New World Order-
After thirty years of pioneering work in AI at Google China, Microsoft, Apple, and other companies, Dr. Kai-Fu Lee is one of the most respected experts on AI. In this thought-provoking book, he reveals the race between the US and China, and that China has suddenly and rapidly caught up with the US.
Dr. Lee provides numerous real-world scenarios illustrating parallels and divergences, coupled with entertaining personal experiences. He talks about the rise of China’s tech giants such as Alibaba, WeChat, and many others digging deep into step by step how each one succeeded. It’s what makes this one of the most important books for business leaders in the current AI era.
4. Artificial Intelligence: The Insights You Need from Harvard Business Review-
The business world is no longer the same — have your business adapted?
AI and machine learning have reshaped and will continue to revolutionize business and society. Indisputably, organizations that don’t use AI will be obsolete sooner than they know it.
The book is a collection of previously published articles by Tech Thought Leaders that provides a high-level overview of AI as seen through a practical business lens. It also explains a business leader’s most essential thinking on what AI is and isn’t, how it’s impacting organizations, the markets, the implications for business leaders — check it out.
5. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World-
Written by Pedro Domingos, the book outlines five tribes of machine learning: inductive reasoning, connectionism, evolutionary computation, Bayes’ theorem, and analogical modelling. The author explains these tribes to the reader by referring to more understandable processes of logic, connections made in the brain, natural selection, probability, and similarity judgements. Throughout the book, it is suggested that each different tribe has the potential to contribute to a unifying “master algorithm”.
Towards the end of the book, the author pictures a “master algorithm” in the near future, where machine learning algorithms asymptotically grow to a perfect understanding of how the world and people in it work. Although the algorithm doesn’t yet exist, he briefly reviews his own invention of the Markov logic network.