As the field is evolving at such a pace , the topics/concepts which are about to learn today just gets replaced with something better/newer alternative tomorrow and its such mess of resources (which often leads to distractions). So I thought if we could gather the most useful/practical & good resources/guides covering the major ai topics (here as answers) ?
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For machine learning, i suggest:
Principles of Machine Learning (2025, W.Wang) https://link.springer.com/book/10.1007/978-981-97-5333-8 It provides a comprehensive introduction to the 2 important schools of thoughts in AI, which is connectivism and behaviorism.
Machine Learning method (2024, H.Li) https://link.springer.com/book/10.1007/978-981-99-3917-6 This book is delves into machine learning mathematically and it is a great book if you are looking for connecting probability, statistics and machine learning together.
Artificial Intelligence Artificial Intelligence(2021, C.C.Aggarwal) https://link.springer.com/book/10.1007/978-3-030-72357-6 This book introduces the all 3 schools of thoughts in AI, including mathematical logic-based system, connectivism, and reinforcement learning techniques, great for AI beginners.
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AI is an extremely broad area intersecting areas such as algorithm computability and complexity analysis of computer science, neural networks of cognitive science, statistical inference and machine learning, agent (sequential) decision theory and ethics, knowledge representation and ontology engineering, multi-agent cooperative/non-cooperative game theory, language modeling and NLP, computer vision and robotics.
With 28 chapters in total, Russell's Artificial Intelligence - A Modern Approach (4th edition) is a classic reference gathering most useful and practical resources and guidance covering all above mentioned topics of AI comprehensively, which could be a start place for you to delve into AI.
cinch
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