Top AI books recommended by experts

At MentorCruise, we are all about making the most out of the experience of others. As part of that, we've connected and asked dozens of experts and professionals about their favourite AI books – and here are the answers.

Table of Contents

Fundamentals of AI

Understanding the concepts of AI starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.

The Society of Mind

The society of mind theory views the human mind and any other naturally evolved cognitive systems as a vast society of individually simple processes known as agents. These processes are the fundamental thinking entities from which minds are built, and together produce the many abilities we attribute to minds.

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Co-Intelligence: Living and Working with AI

Something new entered our world in November 2022 — the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thi…

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The Singularity Is Near: When Humans Transcend Biology

"The Singularity Is Near" portrays what life will be like after this event? a human-machine civilization where our experiences shift from real reality to virtual reality and where our intelligence becomes nonbiological and trillions of times more powerful than unaided human intelligence.

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AI 2041: Ten Visions for Our Future

AI 2041 by Kai-Fu Lee and Chen Qiufan explores how artificial intelligence will shape the world in the next two decades. They present scenarios where AI could help solve some of our biggest problems, while also acknowledging the challenges and ethical implications of this technology.

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Artificial Intelligence Basics: A Non-Technical Introduction

Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more.

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Human Compatible

Human Compatible by Stuart Russell is a thought-provoking read on the future of artificial intelligence. It delves into the risks that AI poses to our civilization, and proposes solutions for ensuring a safe and desirable outcome.

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Additional AI Reading

These books are not required for you to learn AI, but they are highly recommended for you to deepen your knowledge.

Deep Learning

Deep learning is a method in artificial intelligence (AI) that teaches computers to process data in a way that is inspired by the human brain. Deep learning models can recognize complex patterns in pictures, text, sounds, and other data to produce accurate insights and predictions.

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Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification.

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The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies

In recent years, Google’s autonomous cars have logged thousands of miles on American highways and IBM’s Watson trounced the best human Jeopardy! players. Digital technologies―with hardware, software, and networks at their core―will in the near future diagnose diseases more accurately than doctors can, apply enormous data sets to transform retailing, and accomplish many tasks once considered un…

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Artificial Intelligence: A Modern Approach, Global Edition

Thelong-anticipated revision of ArtificialIntelligence: A Modern Approach explores the full breadth and depth of the field of artificialintelligence (AI). The 4th Edition brings readers up to date on the latest technologies,presents concepts in a more unified manner, and offers new or expanded coverageof machine learning, deep learning, transfer learning, multi agent systems,robotics, natural …

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Knowledge Representation, Reasoning, and the Design of Intelligent Agents: The Answer-Set Programming Approach

Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledge-intensive software systems capable of performing intelligent tasks. Using logical and probabilistic formalisms based on answer set programming (ASP) and action languages, this book shows how knowledge-intensive systems can be given knowledge about the world …

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Superintelligence: Paths, Dangers, Strategies

The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control. As the fate of the gorillas now depends more on humans than on the specie…

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Specializations and Deeper AI Knowledge

You've got your basics in order – time to move on to some advanced and specialized concepts. AI is evolving every day, these books can help you master it.

Artificial Intelligence By Example: Acquire Advanced AI, Machine Learning, and Deep Learning Design Skills, 2nd Edition

AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer progra…

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The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the futu…

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This list is curated by MentorCruise and can include Amazon affiliate links. Have any other suggestions? Add here.

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I designed and built most of HubSpot's observability platform, and have handled realtime (sub-15s latency) streams of millions of datapoints per minute, and terabytes per day. I've improved Amazon's open source balancing algorithm for Kinesis to support downtime-free rebalancing over thousands of concurrent shards. I wrote the first endorsed Java …

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With over 12 years of professional experience, the last 7 working in Corporate America, I have experience as a Presales/Solutions Engineer, Project Manager, and Front-end developer. Throughout my career, I had the opportunity to mentor a diverse range of professionals in technology in the US, Europe and Brazil, especially people …

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I currently run my own sales consulting & coaching company. When you're ready, I can help you to overcome your most pressing sales challenges. I specialize in turbocharging commercial teams and am passionate about helping people get better at SALES, a seriously misunderstood craft. In the past, I've helped over …

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