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A 585-page open-access PDF textbook on game theory from arXiv, containing 165 solved exercises.
A free PDF of the Linear Algebra textbook by David Cherney, Tom Denton, and Andrew Walton from UC Davis is shared, emphasizing its importance for AI and data science.
MIT offers the free textbook 'Structure and Interpretation of Computer Programs' (SICP) for learning computer science fundamentals like recursion, abstraction, and language design.
A free PDF of the textbook 'Mathematics for Computer Science' by Eric Lehman, F. Thomson Leighton, and Albert R. Meyer is available via MIT OpenCourseWare, providing essential discrete mathematics foundations for computer science.
Yoshua Bengio's 'Deep Learning' textbook, co-authored with Ian Goodfellow and Aaron Courville, is available for free online at deeplearningbook.org, offering comprehensive coverage of neural networks and related math.
A free online textbook covering the fundamentals of wireless communication, including MIMO, space-time coding, OFDM, and CDMA, intended for graduate students and practicing engineers.
MIT has released the full 900-page discrete mathematics textbook 'Mathematics for Computer Science' for free online, covering proofs, graph theory, state machines, counting, recurrences, and probability as they apply to computer science.
Recommending the MIT classic textbook 'Mathematics for Computer Science', suitable for computer science beginners to systematically learn foundational mathematics.
A textbook covering the detailed design of RISC-V microprocessors and system-on-chip, including open-source SystemVerilog code and test cases for single-issue, superscalar, and multicore implementations.
A free online textbook on compiler construction by Prof. Douglas Thain, enabling readers to build a compiler for a C-like language to X86 or ARM assembly, available for download or purchase.
A free open textbook 'Introduction to Theoretical Computer Science' used in Harvard courses is announced, covering foundational theory including computation, algorithms, complexity, and quantum computing.
A free textbook 'Mathematics for Computer Science' is available under CC BY-SA 3.0, covering key topics for computer science students.
A paper titled 'The Hitchhiker's Guide to Agentic AI: From Foundations to Systems' provides comprehensive textbook-like resources on the basics of LLMs and agentic AI.
Harvard has open-sourced a comprehensive two-volume Machine Learning Systems textbook that covers engineering AI systems for real-world constraints, including distributed training, production inference, edge deployment, and governance, with hands-on components like TinyTorch, hardware kits, and interactive tools.
A free online book covering computer science from the bottom up, written by Ian Wienand and available in PDF, EPUB, and source code formats.
Introducing the open-source textbook 'Mathematical Foundations of Reinforcement Learning', which explains reinforcement learning in a simple yet mathematically rigorous manner. It comes with extensive videos and code implementations, suitable for learners with a basic background in probability theory and linear algebra.
MIT physicist Sanjoy Mahajan's textbook 'The Art of Insight in Science and Engineering' is available for free on MIT OpenCourseWare, teaching nine mental tools for tackling complex problems effectively.
The MIT textbook 'Mathematics for Computer Science' has been translated into Japanese and is available at inzkyk.xyz.
The third edition of the Speech and Language Processing textbook by Jurafsky and Martin was released in January 2026, featuring a clear explanation of Transformers and various updates including new chapters on ASR, TTS, and DPO.
The Jan 6, 2026 draft of the 3rd edition of 'Speech and Language Processing' by Dan Jurafsky and James H. Martin is released, featuring a revised structure with a focus on large language models and updated chapters.