Looking for artificial intelligence books to get introduced to the domain, fine-tune your skills or see how you can use these technologies in your organization? Here’s a list of the 15 best artificial intelligence books for beginners, AI professionals, and business leaders who want to incorporate AI into their strategies.
The 8 Best Artificial Intelligence Books for Beginners
Author - Tom Taulli
This artificial intelligence book is great for beginners because it teaches you the fundamentals of AI and explains concepts like Machine Learning, Deep Learning, Natural Language Processing, Robotics, and much more in a simple, non-technical manner.
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Authors - Stuart Russell & Peter Norvig
This is widely considered to be one of the best artificial intelligence books for beginners. It isn’t overly technical, but it offers you a good overview of the various topics that are included in the domain of artificial intelligence. It covers search algorithms, game theory, multi-agent systems, statistical Natural Language Processing, local search planning methods, and more.
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Author - Kevin Warwick
This AI book offers you a basic understanding of the various aspects of artificial intelligence and shows you several methods through which they could be implemented. It walks you through the history of AI, talks about the current state of AI, and even speculates on the future of artificial intelligence.
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Authors - John Paul Mueller and Luca Massaron
Artificial Intelligence For Dummies introduces you to artificial intelligence, provides you with an overview of the technology, and tackles a lot of the common misconceptions regarding artificial intelligence. It explains the role of data, the use of algorithms, and even dives into carrying out data analysis for artificial intelligence as well as using AI in hardware applications like robots, drones, AI-driven cars, etc.
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Author - James V Stone
This book helps you understand the main neural network learning algorithms and offers you detailed mathematical analyses. Online computer programs collated from open source repositories provide you with a hands-on experience of neural networks. It’s a great introduction to the algorithmic engines of modern-day artificial intelligence.
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Author - Lasse Rouhiainen
Website - http://lasserouhiainen.com/
Artificial intelligence is changing our world faster than we can imagine. It will have a huge impact on all our lives. Artificial intelligence will dramatically change our society and Artificial intelligence 101 covers everything you need to know.
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Author - Tariq Rashid
Tariq Rashid takes you through the mathematics of neural networks and how to make your own using Python Language
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Author - Chris Baker
Everything you need to understand about and how to implement Artificial Intelligence! Learn the potential consequences of Artificial Intelligence and how it will shape the future.
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The 8 Best Artificial Intelligence Books for Professionals
Author - Trevor Hastie, Robert Tibshirani, and Jerome Friedman
Being well versed in statistics is absolutely critical for data scientists, and this book is particularly helpful for that. It grants you a comprehensive explanation of the most vital concepts in statistical learning, without needing to be a mathematics expert to understand the concepts.
It even goes through supervised and unsupervised learning, including SVMs, neural networks and decision trees, random forests, LASSO regression, etc.
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Author - Achim Klenke
This book dives deep into probability theory. It’s not for beginners, rather, it’s intended for people who already have a good amount of experience with probability theory. It starts with measure theory and then gets into concepts of independence, conditional probabilities, martingales, Markov chains, stochastic processes and stochastic integrals. It’s a great read if you want to understand probability from a mathematical perspective.
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Author - Nils J. Nilsson
This book goes over neural networks, reasoning, and Bayesian networks. It covers critical AI concepts, and uses explanatory diagrams. It’s could basically be considered to be required reading for advanced artificial intelligence professionals.
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Author - Amit Konar
This book starts with the behavioral opinion of human cognition. It drills down on the tools and techniques required for machines to intelligently realize it. It goes over the symbolic logic, classical aspects-search, planning, and machine learning in depth and even goes over recent research in these domains.
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Authors - Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani
This book is good for learning a lot of the widely used machine learning algorithms. It shows you how to extract features from your dataset and carry out dimensionality reduction by making use of Python-based libraries.
It even shows you the advanced features of Tensorflow and how to use different techniques related to object classification, object detection, image segmentation, and much more.
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Author - Ian Goodfellow
This book covers topics from the basics like linear algebra and probability to advanced topics like CNNs. It also consists an overview of graphic models in the book.
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Author - Charu Aggarwal
Dr. Aggarwal establishes the link between SVMs, regression, SVD and other classical ML algorithms and explains that these are really just special cases of neural networks.The book is dedicated to the foundations of neural networks, explaining back propagation, regularisation, CNNs, RNNs and auto-encoders in great detail, while also briefly looking at state-of-the-art stuff such as the attention mechanism.
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Author - Sheldon Axler
This book really dives deep into the mathematical foundations of linear algebra. It presents the subject in a more theoretical way.
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The 9 Best Artificial Intelligence Books for Business leaders
Authors - Mariya Yao, Adelyn Zhou, Marlene Jia
This artificial intelligence book is a guide for business leaders who are interested in leveraging AI solutions for their organizations. It offers you a solid framework of AI and machine learning, along with examples that are quite useful.
The book goes over technical as well as non-technical topics and can be rather useful when you’re trying to understand and implement AI solutions in your business. It gives you a good overview of the domain and provides you with explanations of the inner workings of AI that are sufficient for you to gain a qualitative understanding of AI.
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Authors - Paul R. Daugherty and H. James Wilson
![Human + Machine: Reimagining Work in the Age of AI by [Paul R. Daugherty, H. James Wilson]](https://global-uploads.webflow.com/5ef788f07804fb7d78a4127a/621c8e4efc0e6836f5c48900_51qWUL9tA4L.jpeg)
The book goes over the essence of the AI paradigm, which aids you in understanding how the business processes inside an organization could be transformed for better results. The author talks about humans and machines working together and shows you how companies are making use of artificial intelligence to innovate further. It even six entirely new types of hybrid human + machine roles that every company should develop.
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Author - Steven Finlay
![Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies by [Steven Finlay]](https://global-uploads.webflow.com/5ef788f07804fb7d78a4127a/621c8e9f57f60916fc9ae805_51tVleNbNpL.jpeg)
This artificial intelligence book is uniquely suited for business leaders and managers because it doesn’t bother much with the technical jargon that tends to appear a lot in this domain. It explains complicated AI terms and concepts, predictive analytics, statistics in layman's terms.
The book focuses on the practical application of AI solutions and even touches on how to work with data scientists to get the most value out of the AI technologies.
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Author - Alex Castrounis
This book will help you understand what AI really is, figure out how you can identify AI opportunities, and even shows you how you can develop and execute an effective and successful AI vision and strategy for your business.
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Author - Jim Sterne
While this book won’t really teach you how to be a data scientist, it will show you how you can use artificial intelligence and machine learning to completely transform your marketing strategy. It will give you an overview of the most important aspects of artificial intelligence such as natural language processing, speech recognition, and machine learning, letting you see how you can use these technologies to step up your marketing game and get more out of your campaigns.
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Author - Kai Fu Lee.
Website - https://kaifulee.medium.com/
Kai-Fu Lee is an entrepreneur who has an experience in both Silicon Valley and China, he shares his own insights for all the business leaders out there about the current AI eco-system.
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Author - Andriy Burkov
Although the nature of the book is very technical, it's a good read even for beginners. Andriy Burkov has done a great job fitting everything needed to learn about Machine Learning in over 100 pages.
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Author - Pedro Domingos
The author covers topics like inductive reasoning, connectionism, evolutionary computation, Bayes’ theorem, and analogical modelling by referring to more understandable processes of logic, connections made in the brain, natural selection, probability, and similarity judgements.
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Author - Mike Walsh
Website - https://www.mike-walsh.com/
AI is going to impact all aspects of our lives. In this book Mike Walsh talks about how business leaders across various fields, dimensions and organisations should prepare for the future and how they can survive and thrive in the future.
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