The best books on artificial intelligence: What to read if you are interested in AI?
Artificial intelligence in books: from myths to programming
Artificial intelligence is no longer just science fiction, but part of our everyday lives. Do you want to understand AI better, whether from a technology, business or ethical perspective? We bring you an overview of quality books in English and Czech that will guide you through the fascinating world of AI.
For a General Audience and Business
If you are interested in how AI influences society, jobs, and the economy, these books are a great starting point.
Umělá inteligence: Mýty a legendy – Michal Pěchouček, Jiří Matas, Jan Romportl, Tomáš Mikolov
Leading Czech AI experts debunk common myths and provide an accessible overview of the current state of artificial intelligence. This book is written in a way that is understandable even for non-technical readers.
Člověk proti strojům: Jak nás umělá inteligence připravuje o práci a jak se na to připravit – Martin Ford
The author analyzes how AI is transforming the job market, which professions may disappear, and how individuals and companies can prepare for these changes. Written in an engaging style, the book also offers strategies for adapting to the new landscape.
Bude to ještě větší boom – Jan Romportl, Jan Tyl, Jiří Kůs
Three experts on AI and technological innovation discuss the future of artificial intelligence, automation, and their impact on the economy and everyday life.
English Tip: AI Superpowers: China, Silicon Valley, and the New World Order – Kai-Fu Lee
The former president of Google China compares the AI strategies of the US and China and explains how AI is reshaping global economic and political relationships.
(Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson.)
For Technically Oriented Readers
If you want to start programming AI or gain a deeper understanding of machine learning, these books will be valuable resources.
Umělá inteligence a strojové učení – Ondřej Zelenka
A practical introduction to AI and machine learning for beginners and advanced learners. The book offers clear explanations of core principles along with real-world examples.
Strojové učení v jazyce Python – Oliver Theobald
An overview of key machine learning methods with hands-on examples in Python. This book is ideal for those who want to learn how to apply machine learning in practice.
Základy hlubokého učení – Ian Goodfellow, Yoshua Bengio, Aaron Courville (Deep Learning)
One of the most respected textbooks in the field, providing a theoretical foundation for deep neural networks. It is particularly suitable for students and professionals in artificial intelligence.
Zpracování přirozeného jazyka s Pythonem – Steven Bird, Ewan Klein, Edward Loper
An essential resource for anyone interested in text analysis, chatbot development, or natural language processing (NLP). The book includes practical examples and guides on how to use NLP in Python.
English Tip: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow – Aurélien Géron
A practical guide for developers who want to start building machine learning applications using popular Python libraries.
How to Get Started?
Whether you want to learn more about artificial intelligence as a casual reader or dive into coding neural networks, choosing the right book will help you understand this rapidly evolving field.
At Unicorn University, we actively focus on artificial intelligence. Our Unicorn AI Research Center specializes in AI research and its practical applications across various industries. If you want to study AI, you can enroll in our course "Foundations of AI: Practical Applications", which will introduce you to AI principles and their real-world uses.
