Book Recommendations

Over the years, I have read a fair amount of books and some of them have left a lasting impression on me for whatever reason. I’d rather not go into details about why I loved those books but instead just list them here in case anyone finds them interesting too

Business #

• Zero To One by Peter Thiel
• The Hard Thing About Hard Things by Ben Horowitz
• Winning Credibility by Zbigniew Michalewicz

Hacking #

• Structure And Interpretation Of Computer Programs
• Parallel and Concurrent Programming in Haskell by Simon Marlow
• Java Concurrency In Practice by Brian Goetz
• The Little Book of Semaphores by Allen B. Downey
• Designing Data Intensive Applications

Algorithms And Data Structures #

• Purely Functional Data Structures by Chris Okasaki
• The Algorithm Design Manual by Steven Skiena

Computational Intelligence #

• How To Solve It by Zbigniew Michalewicz
• Machine Learning by Tom Mitchell
• Neural Networks For Pattern Recognition by Chris M. Bishop
• Pattern Recognition And Machine Learning by Chris M. Bishop
• NETLAB by Ian Nabney
• Learning with Kernels by Bernhard Schölkopf and Alex Smola
• The Elements of Statistical Learning by Trevor Hastie et al.
• Probabilistic Graphical Model by Daphne Koller
• Multi-Objective Optimization using Evolutionary Algorithms by Kalyanmoy Deb

Puzzles #

• To Mock a Mockingbird: and Other Logic Puzzles by Raymond Smullyan
• What is the Name of This Book?: The Riddle of Dracula and Other Logical Puzzles by Raymond Smullyan
• The Colossal Book of Short Puzzles and Problems by Martin Gardner

Mathematics #

• Calculus Made Easy by Silvanus P. Thompson

Finance #

• Financial Calculus by Martin Baxter and Andrew Rennie
• The Handbook of Convertible Bonds: Pricing, Strategies and Risk Management by Jan De Spiegeleer and Wim Schoutens

Other #

• Gödel, Escher, Bach: An Eternal Golden Braid