Resources

Information Theory

• Robert M. Gray, "Entropy and Information Theory"

• Thomas M. Cover, Joy. A. Thomas, "Elements of Information Theory"

• Yury Polyanskiy, Yihong Wu, ''Lecture Notes on Information Theory''

• Stefan M. Moser, ''Information Theory (Lecture Notes)''

• Stefan M. Moser, ''Advanced Topics in Information Theory (Lecture Notes)''

Probability & Statistics

• Patrick Billingsley, ''Probability and Measure''

• Noga Alon, Joel H. Spencer, ''The Probabilistic Method''

• Ramon van Handel, ''Probability in High Dimension''

• Roman Vershynin, ''High-Dimensional Probability: An Introduction with Applications in Data Science''

• Martin Wainwright, ''High-Dimensional Statistics: A Non-asymptptic Viewpoint''

• John Duchi, "Lecture Notes for Statistics"

• Yihong Wu, ''Information-Theoretic Methods for High-Dimensional Statistics''

• Alexandre B. Tsybakov, "Introduction to Nonparametric Estimation"

• Stéphane Boucheron, Gábor Lugosi, "Concentration Inequalities"

Machine Learning

• Christopher M. Bishop, ''Pattern Recognition and Machine Learning''

• Kevin P. Murphy, ''Machine Learning: A Probabilistic Perspective''

Analysis

• Terence Tao, "An Introduction to Measure Theory"

• Terence Tao, "An Epsilon of Room (Real Analysis)"

• Peter D. Lax, "Functional Analysis"

• Walter Rudin, "Functional Analysis"

• Generative AI with LLMs: [link]

• Google Cloud Skills Boost: [link]

• Hugging Face Course: [link]

• LangChain Academy: [link]

• AWS AI Practitioner: [link]

• NVIDIA Deep Learning Institute: [link]

• Pinecone Learning Center: [link]

• Google Cloud Professional ML Engineer: [link]

• Google Cloud Professional Data Engineer: [link]

• AWS Machine Learning Specialty: [link]

• AWS Solutions Architect Professional: [link]

• Databricks ML Professional: [link]

• Certified Kubernetes Administrator (CKA): [link]

• HashiCorp Terraform Associate: [link]