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I like to keep track of some of the books that I have read.
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All
Academic
Astronomy
Non-fiction
Fiction
Systems
Computer Science
Statistics
Short Introductions
Originals: How Non-Conformists Move the World - Adam Grant
The Three-Body Problem: Cixin Liu (Author), Ken Liu (Translator)
Superforecasting: The Art and Science of Prediction- Philip E. Tetlock and Dan Gardner
Why Does E=mc2? (And Why Should We Care?): Brian Cox
Abundance: The Future Is Better Than You Think : Peter H. Diamandis
Zero to One: Notes on Startups, or How to Build the Future: Peter Thiel
Mars Rover Curiosity: An Inside Account from Curiosity's Chief Engineer: Rob Manning
The Martian: Andy Wier
What If?: Serious Scientific Answers to Absurd Hypothetical Questions: Randall Munroe
Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers: Alexander Osterwalder
Universal Principles of Design: Lidwell, Holden, Butler
Slicing Pie: Fund your company without funds: Mike Moyer
How to Lie with Statistics: Darrell Huff
Einstein's Dreams: Alan Lightman
Operating Manual for Spaceship Earth: R. Buckminster Fuller
Algorithm Design: Jon Kleinberg and Éva Tardos
The Elements of Statistical Learning: Hastie, Tibshirani, Friedman
Feedback control of dynamic systems: Gene F. Franklin
Control of Cyber-Physical Systems: Danielle C. Tarraf
Dataset Shift in Machine Learning: MIT Press
Cyber-Physical Systems: Mark Klein, Raj Rajkumar, Dionisio de Niz
Introduction to Embedded Systems - A Cyber-Physical Systems Approach
Real-Time Systems: Jane Liu
NASA Apollo 11: Owners Manual
NASA Space Shuttle: Owners Manual
MicroC OS II: The Real Time Kernel
Distributed algorithms: Nancy Lynch
Hard Real-time Computing Systems:Giorgio C. Buttazzo
The Analysis of Cross-Classified Categorical Data: Stephen E. Fienberg
Introduction to Mathematical Statistics Edition: Robert V. Hogg
Nonparametric Statistical Methods: Myles Hollander, Douglas A. Wolfe
Bayesian Data Analysis: Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin
A Modern Approach to Regression with R: Simon Sheather
Pattern Recognition and Machine Learning: Christopher Bishop
Introduction to Algorithms: Cormen, Leiserson, Rivest and Stein
The Theory of Probability: Santosh S. Venkatesh
Convex optimization: Stephen Boyd
Linear Systems Theory: Rugh
Introduction to Linear Optimization: Dimitris Bertsimas
An Astronaut's Guide to Life on Earth: Chris Hadfield
NightWatch: A Practical Guide to Viewing the Universe: Terence Dickinson
Red Mars: Kim Stanley Robinson
The Mighty Mars Rovers: Elizabeth Rusch
A Brief History of Time: Stephen Hawking
So Long, and Thanks for All the Fish: Douglas Adams
Mostly harmless: Douglas Adams
The Hitchhiker's Guide to the Galaxy: Douglas Adams
Life, the Universe and Everything: Douglas Adams
The Restaurant at the End of the Universe: Douglas Adams
The Honest Truth About Dishonesty: Dan Ariely
David and Goliath: Malcom Gladwell
Outliers: Malcom Gladwell
The Tipping Point: Malcom Gladwell
The Signal and the Noise: Nate Silver
Gödel, Escher, Bach: an Eternal Golden Braid
Quiet: The Power of Introverts in a World That Can't Stop Talking: Susan Cain
The Brain: A very short introduction
Buddhism: A very short introduction
Cancer: A very short introduction
Chaos: A very short introduction
Consciousness: A very short introduction
Cosmology: A very short introduction
Game Theory: A very short introduction
Genius: A very short introduction
Newton: A very short introduction
Nothing: A very short introduction
Quantum Theory: A very short introduction
Relativity: A very short introduction
Superconductivity: A very short introduction
The improbability principle, why coincidences, miracles and rare events happen everyday
What is life ?: Erwin Scrodinger