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The Best Introduction Books of Hacker News
HN Books collects, ranks, and showcases the
best books recommended on
Hacker News.
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Introduction to Algorithms, 3rd Edition (The MIT Press)
· 55 HN comments -
Pattern Recognition and Machine Learning (Information Science and Statistics)
· 1 HN points · 17 HN comments -
Calculus Made Easy
· 10 HN comments -
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
· 7 HN comments -
Calculus, Vol. 1: One-Variable Calculus, with an Introduction to Linear Algebra
· 9 HN comments -
An Introduction to Database Systems
· 7 HN comments -
The Way of Zen
· 6 HN comments -
Flow: The Psychology of Optimal Experience
· 7 HN comments -
An Introduction to Functional Programming Through Lambda Calculus (Dover Books on Mathematics)
· 7 HN comments -
The New Turing Omnibus
· 6 HN comments -
Introduction to Graph Theory (Dover Books on Mathematics)
· 8 HN comments -
Introduction to Algorithms, Second Edition
· 6 HN comments -
Abstract Algebra, 3rd Edition
· 5 HN comments -
Collected Fictions
· 5 HN comments -
Discrete Mathematics with Applications
· 9 HN comments -
Foundations of Statistical Natural Language Processing
· 5 HN comments -
Introduction to Information Retrieval
· 5 HN comments -
An Introduction to Information Theory: Symbols, Signals and Noise (Dover Books on Mathematics)
· 5 HN comments -
An Introduction to General Systems Thinking (Silver Anniversary Edition)
· 8 HN comments -
Book of Proof
· 5 HN comments -
Mathematical Proofs: A Transition to Advanced Mathematics (3rd Edition) (Featured Titles for Transition to Advanced Mathematics)
· 4 HN comments -
Probability and Computing (Randomized Algorithms and Probabilistic Analysis)
· 6 HN comments -
3D Math Primer for Graphics and Game Development
· 6 HN comments -
Assembly Language Step-by-Step: Programming with Linux
· 5 HN comments -
Quantum Mechanics: The Theoretical Minimum
· 6 HN comments -
The Feynman Lectures on Physics, boxed set: The New Millennium Edition
· 5 HN comments -
Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People
· 6 HN comments -
How to Design Programs: An Introduction to Programming and Computing
· 4 HN comments -
The Mathematical Experience
· 6 HN comments -
Linear Algebra and Learning from Data
· 4 HN comments