There is actually an indelible gap between the goals we have set for artificial intelligence and the reality. Even though some pilot projects have been produced, their application in the real world has been difficult to sustain, and there are many similar examples. This book is dedicated to helping companies and managers who have started or discussed the introduction of AI (artificial intelligence, especially machine learning) but are not progressing smoothly understand where the initial systemic problems lie. The book aims to teach the "rules" that can successfully introduce AI. The author summarizes the "method of thinking about the commercial application of AI" into "7 rules". The book does not involve difficult theories or complex mathematical formulas. On the basis of simply explaining the machine learning theory, it also explains the key points that should be mastered in the commercial application of enterprises. This book is a book that skillfully uses the digital technology of AI.
Reader comments
The 7 rules for AI commercialization mentioned in this book are easy to understand without complicated theories. Moreover, the book also mentioned some real-life problems, which gave me a more correct understanding of AI. I think AI is indeed the trend of the future, but we cannot blindly follow the trend. But I hate those people who jump to conclusions after just a little knowledge of AI. I still need to learn more! In short, this book is very helpful to me and I recommend it to you!
The 7 rules for AI commercialization mentioned in this book are easy to understand without complicated theories. Moreover, the book also mentioned some real-life problems, which gave me a more correct understanding of AI. I think AI is indeed the trend of the future, but we cannot blindly follow the trend. But I hate those people who jump to conclusions after just a little knowledge of AI. I still need to learn more! In short, this book is very helpful to me and I recommend it to you!