Kirk Borne
@KirkDBorne
10 AI and Machine Learning textbooks
(in downloadable PDF format)
1️⃣ Understanding Machine Learning, covers theory and algorithms, top pick for beginners
🔗 https://cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf
2️⃣ Mathematical Foundations of Machine Learning, start here if your math skills need a boost
🔗 https://mml-book.github.io/book/mml-book.pdf
3️⃣ Mathematical Analysis of Machine Learning Algorithms
🔗 https://tongzhang-ml.org/lt-book/lt-book.pdf
4️⃣ Theoretical Principles of Deep Learning
🔗 https://arxiv.org/pdf/2106.10165
5️⃣ Neural Networks and Machine Learning
🔗 https://arxiv.org/pdf/1901.05639
6️⃣ Graph Deep Learning
🔗 https://yaoma24.github.io/dlg_book/dlg_book.pdf
7️⃣ The Algorithmic Perspective on Machine Learning
🔗 https://people.csail.mit.edu/moitra/docs/bookexv2.pdf
8️⃣ Probability Theory: Theory and Examples
🔗 https://sites.math.duke.edu/~rtd/PTE/PTE5_011119.pdf
9️⃣ Fundamentals of Applied Probability
🔗 https://sites.math.duke.edu/~rtd/EP4A/EP4A_April2021.pdf
🔟 Advanced Data Analysis
🔗 https://stat.cmu.edu/~cshalizi/ADAfaEPoV/ADAfaEPoV.pdf
