The ability of a machine to reason, learn, and solve problems in the same way that people do constitutes artificial intelligence. The beautiful thing about artificial intelligence is that you can build a computer with pre-programmed algorithms that can act with its own intelligence, so you don’t need to pre-program the machine to do something. Is. Here are some examples of AI that we experience time and time again:
- Self driving car
- Digital assistants like Google Assistant and Siri
- Movie recommendation system
- Smart farming
- Face recognition
One of the most overused buzzwords in technology today is artificial intelligence. Due to innovations like Siri and Alexa, we are learning more and more about how computers can mimic human thought processes and even accomplish tasks that were once considered too complex for machines.
For some time now, the concept of artificial intelligence has occupied the minds of philosophers, technologists and science fiction writers. AI remains a mystery to many, difficult to define or understand. To help you do this we have put together a list of books so that you can learn more about the exciting field of Artificial Intelligence.
Here is the list of best books for beginners to learn artificial intelligence. These books are highly recommended by AI experts and are helpful for students to understand the fundamentals of programming. These resources will guide you in building a career in this promising field and make you a better AI developer.
Best 10 Artificial Intelligence Books for Beginners 2024
1) Make Your Own Neural Network
- Author Name: Tariq Rashid
- Publisher: Pearson Independently Published
- Latest Edition: 1st edition
- No of Pages: 222 pages
This artificial intelligence reference book is a step-by-step journey through the mathematics of neural networks and creating your own using the Python computer language.
This reference book takes you on a fun and unhurried journey. The book starts with very simple ideas, and slowly builds up an understanding of how neural networks work. In this book, you will also learn how to code in Python and prepare your neural network to offer a professionally developed network.
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2) Artificial Intelligence – A Modern Approach (3rd Edition)
– By Stuart Russell & Peter Norvig
- Publisher : Pearson; 4th edition (April 28, 2020)
- Language : English
- Hardcover : 1136 pages
- ISBN-10 : 0134610997
- ISBN-13 : 978-0134610993
- Item Weight : 3.53 ounces
- Dimensions : 8.4 x 1.7 x 10.1 inches
This book on Artificial Intelligence is considered by many as one of the best AI books for beginners. It is less technical and gives an overview of various topics revolving around AI. The writing is simple, and the reader can easily understand all the concepts and explanations.
Concepts covered include topics such as search algorithms, game theory, multi-agent systems, statistical natural language processing, local search planning methodologies, and more. The book also touches on advanced AI topics without going too deep. Overall, this is a must-read book for anyone interested in learning about AI.
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3) Artificial Intelligence For Dummies
- Author Name: John Paul Mueller
- Publisher: For Dummies
- Latest Edition: 1st edition
- No of Pages: 336 pages
Artificial Intelligence is a book written by John Paul Müller and Luca Masseron. The book provides a clear introduction to AI and how it is being used today.
Inside this book you will find an overview of the techniques. It also talks about the common misconceptions surrounding it. The book explores the use of AI in computer applications, scope, and history of AI.
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4) Machine Learning For Absolute Beginners
- Author Name: O Theobald
- Publisher: Scatterplot Press
- Latest Edition: 2nd edition
- No of Pages: 164 pages
Machine Learning for Absolute Beginners is a book written by Oliver Theobald. The book includes chapters like What is Machine Learning, Types of Machine Learning, Machine Learning Toolbox, Data Scrubbing Setting Up Your Data, Regression Analysis. The book covers clustering, support vector machines, artificial neural networks, building a model in Python, etc. This includes algorithms such as cross-validation, ensemble modeling, grid search, feature engineering, and one-hot encoding.
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5) Machine Learning: The New AI
- Publisher : The MIT Press (October 7, 2016)
- Language : English
- Paperback : 224 pages
- ISBN-10 : 0262529513
- ISBN-13 : 978-0262529518
- Item Weight : 7 ounces
- Dimensions : 5 x 0.44 x 7 inches
Machine Learning: The New AI gives a brief overview of machine learning. It describes its development, explains important learning algorithms, and presents example applications. It outlines how digital technology has advanced from number-crunching machines to mobile devices, putting today’s machine learning boom into context.
The book on Artificial Intelligence gives examples of how machine learning is being used in our daily lives and how it has infiltrated our daily existence. It also discusses the future of machine learning and the ethical and legal implications for data privacy and security. Any reader with a non-computer science background will find this book interesting and easy to understand.
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6) Superintelligence
- Publisher : Oxford University Press; Reprint edition (14 April 2016)
- Language : English
- Paperback : 432 pages
- ISBN-10 : 9780198739838
- ISBN-13 : 978-0198739838
- Item Weight : 448 g
- Dimensions : 19.3 x 2.54 x 12.7 cm
Superintendence, written by Stuart Russell and Peter Norvig is an ideal reference book. This book is the most comprehensive, up-to-date introduction to the theory and practice of AI.
This AI book keeps readers up to date on the latest technologies, presenting concepts in a more integrated way. The book also provides machine learning, deep learning, transfer learning for multi-agent systems, robotics, etc.
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7) The Hundred-Page Machine Learning Book
- Publisher : Andriy Burkov (January 13, 2019)
- Language : English
- Paperback : 160 pages
- ISBN-10 : 199957950X
- ISBN-13 : 978-1999579500
- Item Weight : 13.8 ounces
- Dimensions : 7.5 x 0.38 x 9.25 inches
Andrey Burkov’s “The Hundred-Page Machine Learning Book” is considered by many industry experts to be the best book on machine learning. For beginners, it provides an in-depth introduction to the fundamentals of Machine Learning. For experienced professionals, it delivers practical recommendations from the author’s rich AI field experience.
The book covers all the major approaches to Machine Learning. They range from classical linear and logistic regression to modern support vector machines, boosting, deep learning, and random forests. This book is perfect for beginners who want to become familiar with the math behind machine learning algorithms.
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8) Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
- Publisher : Sebtel Press (March 28, 2019)
- Language : English
- Paperback : 216 pages
- ISBN-10 : 0956372813
- ISBN-13 : 978-0956372819
- Item Weight : 10.5 ounces
- Dimensions : 6 x 0.49 x 9 inches
The Artificial Intelligence Engine is a book by James V Stone. The book explains how AI algorithms, in the form of deep neural networks. It is rapidly eroding that advantage. Deep neural networks find use for many commercial applications such as cancer diagnosis, object recognition, speech recognition, robot control, chess, poker, etc.
In this book, the major neural network learning algorithms are explained, followed by a detailed mathematical analysis.
The brain has always had a fundamental advantage over traditional computers: It can learn. However, a new generation of artificial intelligence algorithms, in the form of deep neural networks, is rapidly eroding that advantage. Deep neural networks rely on adaptive algorithms to master a wide variety of tasks, including cancer diagnosis, object recognition, speech recognition, robotic control, chess, poker, backgammon and Go at super-human levels of performance. In this richly illustrated book, key neural network learning algorithms are first informally explained, followed by detailed mathematical analysis. Topics include both historically important neural networks (perceptrons, Hopfield nets, Boltzmann machines, and backpropagation networks), and modern deep neural networks (variable autoencoders, convolutional networks, generative adversarial networks, and reinforcement learning using SARSA and Q-learning). Are included. Online computer programs, collected from open source repositories, give practical experience of neural networks, and PowerPoint slides provide support for teaching. Written in an informal style with an extensive glossary, tutorial appendices (such as Bayes’ theorem, maximum likelihood estimation), and a list of further reading, it is an ideal introduction to the algorithmic engines of modern artificial intelligence.
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9) Artificial Intelligence: The Basics
- Publisher : Routledge; 1st edition (August 18, 2011)
- Language : English
- Paperback : 192 pages
- ISBN-10 : 0415564832
- ISBN-13 : 978-0415564830
- Item Weight : 8 ounces
- Dimensions : 5.08 x 0.44 x 7.8 inches
This book provides a basic overview of the different AI aspects and the different ways to implement them. It explores the history of AI, its present and where it will be in the future. The book has interesting illustrations of modern AI technology and robotics. It also gives recommendations for other books that have more information about a particular concept.
This book is a quick read for anyone interested in AI. It explores the issues at the heart of the subject and provides an immersive experience for the reader.
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10) Life 3.0: Being Human in the Age of Artificial Intelligence
- Listening Length- 13 hours and 29 minutes
- Author – Max Tegmark
- Narrator – Rob Shapiro
- Audible.com Release Date – August 29, 2017
- Publisher – Random House Audio
- Program Type – Audiobook
- Version – Unabridged
- Language – English
Life 3.0: Being Human in the Age of Artificial Intelligence is a book written by Max Tegmark. The book talks about the rise of AI and how it has the potential to change our future more than any other technology.
This book covers the full range of viewpoints or even the most controversial issues. It talks about the meaning of life, consciousness and ultimate physical limits in the universe.
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11) Applied Artificial Intelligence: A Handbook for Business Leaders
- Publisher : TOPBOTS (April 30, 2018)
- Language : English
- Paperback : 246 pages
- ISBN-10 : 0998289027
- ISBN-13 : 978-0998289021
- Item Weight : 10.2 ounces
- Dimensions : 5.5 x 0.56 x 8.5 inches
Applied Artificial Intelligence is a useful handbook for business professionals who are passionate about using artificial intelligence to improve the efficiency of their company and the overall standard of living in their society.
This book focuses on using Machine Learning and Artificial Intelligence to make practical and strategic business decisions. This is one of the best practical AI books available for company executives looking to truly benefit from using machine learning technology.
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Why learn Artificial Intelligence?
There are many benefits to learning AI, including:
- Increase in efficiency and productivity.
- Better safety and security.
- Capable of increasing the capacity to process large amounts of data.
- It helps you create new products and services.
- This can help you create a more personalized customer experience.
- You can build more accurate models and forecasts.
Learn Here – Artificial Intelligence – What Is, Types, Benefits & Feature Full Guide
According to a study released by Gartner, the AI job creation market will see a huge boom by 2028, with over 2 million jobs being created in this area of IT – one of the top reasons to learn AI.
AI is enhancing coding and programming languages and automation opens up new avenues of opportunities while taking less time and thus far better than earlier manual and automation testing methods. The incorporation of artificial intelligence has made the work of technicians and on-site executives easier and has opened up many avenues for budding IT aspirants and existing IT professionals to transform their lives.
Below are the top reasons why you should learn Artificial Intelligence and how it has proved to be more helpful in terms of efficiency and accuracy –
Skill of the century
It’s already clear that AI will soon replace a lot of jobs that humans do. Apart from this, it will create many other job opportunities in related sectors. For those who want to stay in the loop, there should be at least some knowledge of AI.
In the near future, AI is going to revolutionize the entire face of humanity and everyone wants to be a part of this change. This is why AI has become the skill of the century when its ever-evolving applications know no bounds.
AI is everywhere
Today AI is not just limited to computer and space related industries. Today, it is playing a vital role in several industry sectors that are directly related to our day-to-day lives, including automobiles, healthcare and even the finance and banking sector. It applies to every single industry and never fails to produce amazing results.
Read here- What is the role of AI in Digital Marketing for Boost Your Agency
Great career
With every company looking to introduce AI into their operations, the study of AI opens up a world of opportunities to create cutting-edge technological solutions in areas as diverse as image recognition, computer security, pharmacy or facial recognition.
AI at the present level not only assures a decent salary but also ensures you promising opportunities that will help you grow. This is an important point, why you should learn Artificial Intelligence.
AI is versatile
Artificial Intelligence has everything it takes to stand out from the crowd. Usually, the mention of AI draws our mind to either the computer or IT industries. But it has a major role to play in industries such as mobiles, healthcare, banking, clothing and more. It should come as no surprise that there are many reasons to learn AI.
Increase your employability
Promoting your technical expertise in AI, and how it applies to your business and job role, is just one of many areas in the AI segment. This will not only enhance the practical application of your AI but also make you an attractive candidate for developing, managing and planning AI solutions in your role, business as well as in the field.
Stay ahead of the future
Humans are getting smarter with every new technological innovation. If you want to stay up to date with the latest trends in the industry, AI can help. From machine learning to robotics and algorithms, a comprehensive AI course covers the broadest range of AI and ML tools and techniques to apply to your operations. Understanding how AI performs, and how to apply it in your domain, is an essential step to integrate into the changing technological landscape and one of the prime reasons to learn AI.
Network with experts
Another reason why you should learn Artificial Intelligence, studying AI allows you to grow your global network as you collaborate with professionals living and working around the world. This is mainly through seminars, group projects, discussion forums etc.
It enriches your overall work expertise and gives you a deeper understanding of AI as you connect with people around the world going through similar challenges.
With the above points, it is clear that AI is something we cannot avoid today and why you should learn Artificial Intelligence. Next, let’s check out the popular AI tools that are actively being used in the industry.
Who can learn Artificial Intelligence?
Artificial Intelligence can be learned by anyone, and it is not a specific skill set that you need to have to learn AI.
