Artificial Intelligence, Data Science, and Data Analytics are the hottest careers in 2021; most engineers want to pursue a career in AI, Data Science, or Data Analytics. A list of the best AI books is a great way to learn from the best resources.
We have gathered a few basic and advanced Artificial Intelligence books that will help you learn the basics of the field.
1. Artificial Intelligence – A Modern Approach (3rd Edition)
By – Stuart Russell and Peter Norvig
Since the last edition of this book in 2003, there have been many changes and developments in Artificial Intelligence. You'll find the latest developments in AI in this book, including practical speech recognition, machine translation, autonomous vehicles, and household robotics. It also describes the progress made in areas such as probabilistic reasoning, machine learning, and computer vision.
You can buy it here.
2. Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
By – James V Stone
Detailed mathematical analyses follow the explanations of the key neural network learning algorithms in this book. Computer programs gathered from open source repositories allow hands-on experience with neural networks. It is an excellent introduction to the algorithmic engines of modern artificial intelligence.
You can buy it here.
3. Artificial Intelligence By Example
By – Denis Rothman
In this book, real-life scenarios are used to show how Artificial Intelligence works. A neural network-based approach to developing emotional intelligence in chatbots is covered in this course, as well as how AI can be employed with blockchain and IoT. You can use this book to develop your adaptive thinking skills to solve real-life AI cases.
You can buy it here.
4. Artificial Intelligence and Machine Learning
By – Chandra S.S.V
Specifically, this book is intended for undergraduate and postgraduate students of computer science and engineering. The book bridges the gap between Artificial Intelligence and Machine Learning. It contains most case studies and worked-out examples. Besides Artificial Intelligence and Machine Learning, it also covers various types of learning, such as reinforced, supervised, unsupervised, and statistical learning. This book provides well-explained algorithms and pseudo-codes for each topic, making it very useful for students.
You can buy it here.
5. Artificial Intelligence Basics: A Non-Technical Introduction
By – Tom Taulli
This book will give you a basic understanding of Artificial Intelligence and its implications. It provides an introduction to important concepts such as Machine Learning, Deep Learning, Natural Language Processing, Robotics, and more. Further, the author discusses the future impact of AI on aspects such as societal trends, ethics, governments, and company structures.
You can buy it here.
6. Artificial Intelligence: An Essential Beginner’s Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural Networks, Deep Learning, Reinforcement Learning, and Our Future
By – Neil Wilkins
This book provides an insight into Artificial Intelligence and a hypothetical simulation of a living brain inside a computer. This book covers the following topics:
Confluence of Interests
AI Myths
Manipulating the Limbic System
Motivation for Creating AI
Basic Concepts
IoT Ecosystem
Fighting Against Tech Giants
Seminal Inventions
Fear-based Consumerism
AI and Growth Hacking
AI and Correcting Fake News
AI and Big Data
AI and Employment
AI and The Legal System
AI and Self-driving Vehicles
Tech Giants As Rulers of Society
AI as One World Religion
Dietary Advice by AI
AI and Loneliness
AI and Ethics
AI and Social Credit
Hacking AI
AI as Sports Referees
You can buy it here.
7. A First Course in Artificial Intelligence
By – Deepak Khemani
It follows a bottom-up approach, exploring the basic strategies needed for solving problems, mainly on the intelligence side. The main features of the course include an introductory course on Artificial Intelligence, a knowledge-based approach using agents all over the world, and detailed, well-structured algorithms.
You can buy it here.
8. Applied Artificial Intelligence: A Handbook for Business Leaders
By – Mariya Yao, Adelyn Zhou, Marlene Jia
In Applied Artificial Intelligence, the authors provide a practical guide for business leaders who are enthusiastic about using machine intelligence to improve productivity and quality of life in their organizations. Applications of artificial intelligence and machine language are used in this book to drive concrete business decisions. It is one of the best practical guides for business leaders interested in getting the most out of machine learning technology.
You can buy it here.
9. Artificial Intelligence in Healthcare
By – Mahajan MD, Parag Suresh
An exploration of how Artificial Intelligence is revolutionizing all aspects of healthcare, as well as the current state of and future applications of AI in healthcare, including those in development, is covered in this book. Additionally, it discusses the ethical concerns related to the use of AI in healthcare, principles of AI and how it works, the vital role of AI in all major medical specialties, and the role of corporations and start-ups in AI implementation.
You can buy it here.
10. Life 3.0 Being Human in the Age of Artificial Intelligence
By – Max Tegmark
In this book, the author explores the next phase of human existence through the latest AI thought processes. The author explores the burning questions of how to prosper through automation without displacing workers, how to ensure that future AI systems work correctly without malfunctioning or getting hacked, and how to flourish in our increasingly automated society without being outsmarted by lethal autonomous machines.
You can buy it here.
11. Basics of Artificial Intelligence & Machine Learning
By – Dr. Dheeraj Mehrotra This book delivers an overview of Artificial Intelligence and Machine Learning with a better understanding of technology.
You can buy it here.
12. Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp
By – Peter Norvig
These advanced Common Lisp tricks are presented in conjunction with building major AI systems. Utilizing state-of-the-art Common Lisp, the program reconstructs authentic, complex AI programs, builds and debugs robust practical programs, and demonstrates superior programming style and important AI concepts. Professional programmers will find it useful as a reference and as a supplement to general AI courses.
You can buy it here.
13. Python: Beginner’s Guide to Artificial Intelligence
By – Rahul Kumar, Ankit Dixit, Denis Rothman, Amir Ziai, Mathew Lamons
Using deep learning problems in this book, you will be able to gain real-world contextualization. Using real-world AI examples, design and implement machine intelligence. As a result of reading this book, you will gain knowledge in machine learning, deep learning, data analysis, TensorFlow, Python, and AI fundamentals, and be able to apply those skills in real-world projects.
You can buy it here.
14. Python: Advanced Guide to Artificial Intelligence
By – Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani
A complete guide to popular machine learning algorithms is presented in this book. By using Python-based libraries, you will learn how to extract features from your dataset and perform dimensionality reduction. Afterward, you will be learning advanced features of Tensorflow and implementing various techniques related to object classification, object detection, image segmentation, and more. After reading this book, you will have a deep understanding of Tensorflow and will be able to solve most AI problems.
You can buy it here.
15. Artificial Intelligence: Learning Automation Skills with Python
By – Chris Baker
The book explores the potential consequences of artificial intelligence and how it will shape the world in the coming years. It familiarizes the reader with how artificial intelligence aims to aid human cognitive limitations. The book covers:
Artificial intelligence: a brief history
Machine learning: the state of the art
Machine learning using artificial neural networks
Building an AI-ready culture
AI's impact on our daily lives
You can buy it here.
16. Python for Data Science For Dummies
By – John Mueller and Luca Massaron
Anyone looking to use machine learning in a practical way can take advantage of this entry point. Machine learning is made easy to understand and implement with this book. The article explains how
A lot of our day-to-day activities are powered by machine learning
Learns Python and R and how to perform pattern-oriented tasks and data analysis.
Explains how to code in R using R studio
Anaconda is used to code in Python.
You can buy it here.
17. Machine Learning – The New AI
By – Ethem Alpaydin
It is a concise overview of machine learning, which underlies applications such as recommendation systems, face recognition, and driverless cars. The author provides a brief overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting examples of application.
You can buy it here.
18. Fundamentals of Machine Learning for Predictive Data Analytics – Algorithms, Worked Examples and Case Studies (The MIT Press)
By – John D. Kelleher, Brian Mac Namee
An introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. This book combines technical and mathematical material with explanations, worked examples, and case studies that illustrate the use of these models in the business. In addition, this book examines techniques for evaluating prediction models and offers two case studies that illustrate specific data analytics projects in each phase, from formulating the business problem to implementing the analytics solution.
You can buy it here.
19. Machine Learning for Absolute Beginners: A Plain English Introduction (Third Edition)
By – Oliver Theobald (Author)
From the early days of computer learning to the time when machines beat human experts, this book traces the development of Machine Learning. It discusses the importance of data and how massive amounts of it provide ML programmers with information to develop learning algorithms. Artificial Intelligence and Machine Learning are discussed in this book.
You can buy it here.
20. Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques
By – Deepti Gupta
This book provides an understanding of ML algorithms on SAS and R. Real-time industrial data sets are provided in this book. With case studies in retail, telecommunications, healthcare, airlines, and FMCG, this book explores the role of analytics in various industries.
You can buy it here.
21. Advances in Financial Machine Learning
By – Lopez de Prado, Marcos
Readers are taught how to structure Big Data in a way that is amenable to Machine Language Algorithms, how to investigate that data using ML algorithms, how to conduct backtests while avoiding false positives. A book that addresses real-life problems faced by practitioners on a daily basis and explains mathematically sound solutions with examples and code.
You can buy it here.
22. Human Compatible – Artificial Intelligence and the Problem of Control
By – Stuart Russel
The author discusses the idea of intelligence in humans and machines in this book. His assistants outline the near-term benefits of intelligent personal assistants to greatly accelerate scientific research. According to the author, AI can be built on a new foundation where machines are designed so that they are uncertain about the preference they are required to satisfy. A machine of this nature would be humble, altruistic, and dedicated to achieving human goals.
You can buy it here.
Conclusion
Career opportunities in Artificial Intelligence can be found in a wide range of fields, including private organizations, public undertakings, education, the arts, health care, and government services. Artificial intelligence continues to advance every day. Thus, those who are able to translate digital bits of information into meaningful conclusions will be able to sustain a rewarding career in this area. There are many courses and certifications available online in this field. You can be sure the courses will be promising and you will find that you will have lots of opportunities coming your way if your intent is promising.
