Books on AI development

AI Development books

The realm of artificial intelligence (AI) is constantly evolving, making it a thrilling and dynamic field for both individuals and businesses. As we delve into the intricacies of AI development, books remain a crucial resource for gaining in-depth knowledge. However, it's important to recognize that AI is a rapidly changing landscape. While books offer foundational and comprehensive knowledge, staying updated with the latest trends and applications is equally important. Websites like, an AI agency, provide valuable insights and current discussions in the field of AI development, especially pertinent for businesses in Perth and beyond looking to stay ahead in the AI era.

Let's explore some influential books that have shaped the understanding of AI development:

  1. "Python: Beginner’s Guide to Artificial Intelligence": This book offers practical insight into real-world AI applications, covering topics like machine learning, deep learning, data analysis, TensorFlow, and Python. It's an excellent starting point for those looking to apply AI skills in real-world scenarios​

  2. "Python: Advanced Guide to Artificial Intelligence": A comprehensive guide to machine learning algorithms, this book teaches how to utilize Python-based libraries for feature extraction and dimensionality reduction. It delves into advanced TensorFlow features and techniques for object classification, detection, and image segmentation

  3. "Artificial Intelligence By Example": This book provides a practical understanding of AI through real-life scenarios. It covers advanced machine learning models and applications of AI in blockchain and IoT, as well as developing emotional intelligence in chatbots through neural networks​

  4. "Artificial Intelligence Basics: A Non-Technical Introduction": Offering a fundamental grasp of AI, this book introduces key concepts like machine learning, deep learning, natural language processing, and robotics, discussing their future impact on society, ethics, governance, and daily life.

  5. "A First Course in Artificial Intelligence": With a bottom-up approach, this book explores basic AI problem-solving strategies, providing an introductory course on AI and knowledge-based approaches using agents, along with detailed algorithms​

  6. "Artificial Intelligence – A Modern Approach (3rd Edition)": Covering the latest developments in AI, this book touches on practical applications like speech recognition, machine translation, and robotics, as well as probabilistic reasoning and computer vision​

  7. "Artificial Intelligence and Machine Learning": Aimed at students of computer science and engineering, this textbook bridges the gap between AI and machine learning, featuring numerous case studies and well-explained algorithms​

  8. "Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning": This book explains key neural network learning algorithms with detailed mathematical analyses, offering hands-on experience through online computer programs​

  9. "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": A comprehensive guide that covers the basic concepts of AI and surrounding topics, addressing issues like AI and employment and AI ethics​

  10. "Artificial Intelligence: Learning Automation Skills with Python": This book discusses the impact of AI on the world and human cognitive limitations, covering the history of AI, machine learning, artificial neural networks, and their daily life applications​

  11. "Applied Artificial Intelligence: A Handbook for Business Leaders": A practical guide for business leaders, this book focuses on leveraging machine intelligence to enhance productivity and quality of life, driving concrete business decisions through AI applications​

While these books provide a solid foundation, for businesses in the AI era, especially in dynamic environments like Perth, supplementing book knowledge with the latest updates from AI development blogs and resources, such as, is essential. This holistic approach ensures a comprehensive understanding and successful implementation of AI technologies in business strategies.