Artificial Intelligence is likely to be either the best or worst thing to happen to humanity - Stephen Hawking.
Artificial Intelligence (AI) usage has gradually become a "new normal." It has spread into new aspects of life-transforming jobs, markets, and even the world order. Artificial Intelligence is seen as essential to the digital transformation of society, so it might be hard to understand the potential behind it fully. Things such as online shopping, virtual assistants, even web searches- are all AI-powered. Almost every industry in the world incorporates AI as the primary way of functioning. Because it took the world by a storm, people are more eager to learn and include forms of AI either into their everyday lives or in their businesses. There is a wide spectrum of books to choose from depending on what area of AI interests you; for now, we singled out six books that AI experts recommend:
THE MASTER ALGORITHM BY PEDRO DOMINGOS
If you want to learn about broader frameworks rather than just deep learning, this is a book for you. Especially if you are a technical person, it is an eye-opener to some things you probably didn't know about AI. The book introduces machine learning and does a great job presenting principal components. This book offers a top-down look at the world of machine learning providing deep and very engaging insights. We recommend this book even to non-technical people as it may well change the perception of computer science and may even uncover an interest that you never knew you had.
HANDS-ON MACHINE LEARNING WITH SCIKIT-LEARN, KERAS, AND TENSOR FLOW BY AURELIEN GERON
As one of the most comprehensive Machine Learning readings, this book covers all the fundamental aspects of AI. It contains excellent explanations and unique visualizations of how AI functions. As a beginner in learning about Artificial Intelligence, you will find this book a refreshment since it explains the basics of machine learning. If you are intimidated by math, this book is explained with just a few equations and many explanations. The casual style of the book creates the perfect balance between theory and practice of AI and is well suited to someone who wants to explore AI thoroughly. After reading this book, we guarantee you will return to it as a "how-to" reference in the future.
AI SUPERPOWERS: CHINA, SILICON VALLEY, AND THE NEW WORLD ORDER BY KAI-FU LEE
If you ever wondered what is happening in the realm of AI, this is a book for you. Not only does it describe a fascinating look at the Chinese tech environment, but it also explains why it is entirely different from Silicon Valley. The author explains technical methods, algorithms, and data in an easy-to-understand manner. It gives a future overview of what jobs AI will replace, what jobs will be safe over the years, and what jobs will be created in the future. The differences in both the USA's and China's approaches to AI, the author describes in-depth, making this book a must on the shelves for Artificial Intelligence learners.
DEEP LEARNING BY IAN GOODFELLOW, YOSHUA BENGIO, AARON COURVILLE
Artificial Intelligence dates back to the 20th century, and it drastically evolved throughout the years, making it a very complex aspect of technology. Deep Learning is the book entirely up to date when it comes to the depths of Artificial Intelligence. Unlike the books mentioned above, Deep Learning requires beforehand knowledge of Artificial Intelligence. AI concepts are described in deeper level detail. It is an excellent book for anyone studying in the field of AI, covering everything you need to know. Deep Learning achieves quality given its subject matter, as it ties such a vast amount of knowledge on AI together. The writers provided necessary details for neural networks and deep versions of them, succeeding in categorizing them to carry the ideas smoothly. Taking it into consideration, along with the lengthy 775 pages, some may even classify this book as a textbook for AI.
HUMAN + MACHINE: REIMAGINING WORK IN THE AGE OF AI BY PAUL R. DAUGHERTY, H. JAMES WILSON
This book is a perfect example of AI usage in business models. Authors show a side of humans and machines working together symbiotically, naming it the "missing middle" between human and machine intelligence. One of the most exciting things this book brings is the explanation of how AI is already being used to modify businesses. Its clearness attracts audiences even with minimal knowledge of Artificial Intelligence and Machine Learning. Showing the controversial side of AI, the book brings new enlightenment on how Artificial Intelligence is not about replacing people but empowering them. The authors portrayed a bright future where humans and machines work together and provide new business models, renewed organizations, employee engagements. It includes concepts with innovations that can be transferred to any work and be applied immediately. If you're yet to embark on a digital transformation journey, this book will bring you just the enlightenment you'll need.
PYTHON MACHINE LEARNING BY SEBASTIAN RASCHKA
Another insightful book that combines explained math, python implementation, and excellent code examples. If you're looking for a baseline in Machine Learning, this book is the way to go. The author carefully balanced theoretical math and implementation in Python. One of the great things about Python Machine Learning is the usage of algorithms on real data sets and coverage of all the popular supervised and unsupervised learning algorithms. The book incorporates different perspectives of Artificial Intelligence, where the readers are introduced to artificial neural nets and operations using Python libraries Theano, and Keras. It is an excellent resource helping demystify any misinterpretations of Artificial Intelligence.
Finding an appropriate resource isn't easy and it's different for everyone, especially when it comes to complex topics such as Artificial Intelligence. The above-mentioned books bring useful information about different aspects of AI while providing both theoretical and practical knowledge. The list was compiled to give the readers a realistic view of AI and help them simplify the complexities surrounding the topic.
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