## $\Sigma$

Mostly computer science, math and stuff similar.

These are some books I have read and find them worth.

#### Mathematics

• Linear Algebra Done Right, Sheldon Axler
• Principles of Mathematical Analysis, Walter Rudin
• Calculus, M. Spivak
• A First Course in Complex analysis, Dennis G. Zill and Patrick Shanahan
• A Book of Abstract Algebra, Charles Pinter
• The Princeton Companion to Mathematics, Timothy Gowers et al
• How to solve it, G Pólya
• Elementary Number Theory, David M Burton
• Topology, Munkres
• Introduction to Linear Algebra, Gilbert Strang.

#### Computer Vision $\cup$ Machine Learning

• Computer Vision: Algorithms and Applications, Richard Szeliski
• Computer Vision: Models, Learning, and Inference, Simon J. D. Prince
• Learning OpenCV3 Computer Vision in C++ with the OpenCV library, Adrian Kaehler and Gary Bradski

#### Machine Learning++

• Pattern Recognition and Machine Learning, Christopher M. Bishop
• Elements of Statistical Learning, Trevor Hastie, Robert Tibshirani, Jerome Friedman
• Deep Learning, Ian Goodfellow et al.

#### Neuroscience

• An Introduction to Neural Networks, James A. Anderson ( Neurobiology and Neurocomputing )
• Principles of Neural Design, Peter Sterling.

### Movies and Fiction/Non-fiction

Books: An up to date list is at Goodreads.

Movies: I watch mosly science fiction, action, thriller and animation. An up to date list is here on letterboxd.

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