项目作者: rng70

项目描述 :
This repository contains books on different topics. I have just put them in one folder to keep them maintainable and easy to find.
高级语言:
项目地址: git://github.com/rng70/Collection-of-Books.git
创建时间: 2020-03-04T14:38:20Z
项目社区:https://github.com/rng70/Collection-of-Books

开源协议:

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Head First Java_1647752974393.pdf
Java - Data Structure And Algorithm Analysis_1647752975531.pdf
Java - How to Program by Paul Deitel & Harvey Deitel_1647752976273.pdf
Java - The Complete Reference_1647752979278.pdf
Java 3D Programming_1647752981851.pdf
Java Notes For Profs_1647752982173.pdf
Java Programming_1647752982766.pdf
OOP using Java_1647752983449.pdf
(Stewart's Calculus Series) James Stewart - Multivariable Calculus_ Early Transcendentals_1647752984090.pdf
James Stewart - Complete Solutions Manual - Multivariable Calculus_1647752986006.pdf
Wade, William R - Introduction to Analysis Pearson New International Edition (2014, Pearson Education Limited) - libgen.lc_1647752987684.pdf
William R. Wade - Instructor’s Solutions Manual for Introduction to Analysis (4th Edition)-Prentice Hall (2009)_1647752987880.pdf
Elementary Algebra Exercise Book I_1647752988400.pdf
Elementary Algebra Exercise Book II_1647752989103.pdf
Introduction to Complex Numbers_1647752989400.pdf
Linear Algebra I_1647752989717.pdf
Linear Algebra II_1647752990084.pdf
Linear Algebra III _1647752990417.pdf
Linear algebra c-1_1647752990812.pdf
Linear algebra c-2_1647752991031.pdf
Linear algebra c-3_1647752991272.pdf
Linear algebra c-4_1647752991476.pdf
An introduction to the theory of complex variables_1647752991796.pdf
Complex Functions Examples c-2_1647752992271.pdf
Complex Functions Examples c-3_1647752992533.pdf
Complex Functions Examples c-4_1647752992782.pdf
Complex Functions Examples c-5_1647752993033.pdf
Complex Functions Examples c-6_1647752993261.pdf
Complex Functions Examples c-7_1647752993521.pdf
Complex Functions Examples c-8_1647752993794.pdf
Complex Functions Examples c-9_1647752994041.pdf
Complex Functions Theory c-11_1647752994370.pdf
Complex Functions Theory c-12_1647752994842.pdf
Complex Functions c-1_1647752995157.pdf
Introduction to Complex Numbers_1647752995393.pdf
Analytic Geometry by Siceloff & Wentworth Smith_1647752995997.pdf
Analytic geometry by David Pierce_1647752996370.pdf
Introduction to Analytic Geometry_1647752996859.pdf
Data Science and Analytics with Python_1647752998526.pdf
CommandLine_1647752999436.pdf
LIst of Command for Linux_1647752999741.pdf
List of Commands for Linux_1647753000152.pdf
Flutter Succinctly_1647753000357.pdf
The Dart Programming_1647753000965.pdf
Adaptive Computation and Machine Learning) Richard S. Sutton, Andrew G. Barto - Reinforcement learning an introduction_1647753001502.pdf
An Introduction to Statistical Learning with Applications in R_1647753001913.pdf
Andrew Ng - Machine Learning Yearning_1647753002299.pdf
Burkov, Andriy - The hundred-page machine learning book_1647753003114.pdf
Chris Albon - Python Machine Learning Cookbook_1647753003862.pdf
Donald J. Norris - Machine Learning with the Raspberry Pi_ Experiments with Data and Computer Vision_1647753004480.pdf
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow_1647753006935.pdf
Machine Learning in Python_1647753009012.pdf
Mark Pilgrim - Dive Into Python 3_1647753009410.pdf
Navdeep Gill, Patrick Hall - An Introduction to Machine Learning Interpretability_1647753009982.pdf
Pilgrim M. - Dive into Python_1647753010370.pdf
Understanding Machine Learning- From Theory to Algorithms_1647753010547.pdf
Vishnu Subramanian - Deep Learning with PyTorch_1647753010778.pdf
Rajendra Bhatia - Matrix Analysis-Springer-Verlag New York (1997)_1647753011420.pdf
Roger A. Horn, Charles R. Johnson - Matrix Analysis-Cambridge University Press (2013)_1647753011980.pdf
Sheldon Axler - Linear Algebra Done Right Solutions Manual (1997)_1647753012223.pdf
Sheldon Axler - Linear Algebra Done Right-Springer (1997)_1647753012367.pdf
Sheldon Axler - Linear Algebra Done Right-Springer (2004)_1647753012496.pdf
Quadcopter Dynamics, Simulation, and Control_1647753012589.pdf
R.S. Khurmi, J.K. Gupta - Theory of Machines-S Chand _ Co Ltd (2005)_1647753013082.pdf
Using inertial sensors for position and orientation estimation_1647753013735.pdf
Stephen Abbott - Understanding Analysis Instructors_ Solution Manual_1647753013945.pdf
Stephen Abbott - Understanding Analysis-Springer (2001)_1647753014100.pdf
Walter Rudin - Principles of Mathematical Analysis, Third Edition-McGraw-Hill Science_Engineering_Math (1976)_1647753014714.pdf
Dimitri P. Bertsekas, Dimitri P. Bertsekas - Nonlinear programming (1999, Athena Scientific)(1)_1647753015921.pdf
Dimitri P. Bertsekas, Dimitri P. Bertsekas - Nonlinear programming (1999, Athena Scientific)_1647753017482.pdf
Michel Marie Deza, Monique Laurent (auth.) - Geometry of Cuts and Metrics-Springer-Verlag Berlin Heidelberg (1997)_1647753018330.pdf
Monique Laurent - semidefinite optimization_1647753018470.pdf
Robert Vanderbei - Linear programming_ Foundations and extensions-Springer (2008)_1647753018642.pdf
Stephen Boyd, Lieven Vandenberghe - Convex Optimization -Cambridge University Press (2004)_1647753019002.pdf
Christopher M. Bishop - Pattern Recognition and Machine Learning-Springer (2006)_1647753019416.pdf
A. Martin Wainwright, Robert Tibshirani, and Trevor Hastie - Statistical Learning with Sparsity The Lasso and Generalizations_1647753020060.pdf
Ian Goodfellow, Yoshua Bengio, Aaron Courville - Deep Learning-The MIT Press (2016)_1647753021166.pdf
Elad Hazan - Introduction to Online Convex Optimization_1647753021922.pdf
Simon Haykin - Adaptive filter theory-PH (1996)_1647753023421.pdf
Algorithms_for_Reinforcement_Learning_1647753025273.pdf
Reinforcement Learning and Stochastic Optimization- A unified framework for sequential decisions - Warren Powell_1647753025361.pdf
Richard S. Sutton, Andrew G. Barto - Reinforcement Learning_ An Introduction-The MIT Press (2018)_1647753027772.pdf
Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin - Bayesian data analysis-Chapman _ Hall_CRC (2004)_1647753030763.pdf
Daphne Koller, Nir Friedman - Probabilistic Graphical Models_ Principles and Techniques-The MIT Press (2009)_1647753031965.pdf
Judea Pearl, Dana Mackenzie - The Book of Why_ The New Science of Cause and Effect-Basic Books (2018)_1647753032458.pdf
Judea Pearl, Madelyn Glymour, Nicholas P. Jewell - Causal Inference in Statistics_ A Primer (2016, Wiley)_1647753032839.pdf
Deep Learning_1647753033111.pdf
Fundamentals of Deep Learning_1647753033984.pdf
Bernd Jähne - Digital Image processing_1647753034808.pdf
On Statistical Data Compression_1647753036162.pdf
The Data Compression_1647753036614.pdf
Universal lossless data compression algorithms_1647753036672.pdf
Having Fun with Visual Studio Code_1647753036822.pdf
Visual Studio Code Distilled Evolved Code Editing for Windows, macOS, and Linux_1647753037069.pdf
Visual Studio Code End-To-End Editing and Debugging Tools for Web Developers by Bruce Johnson_1647753037802.pdf
Visual Studio Code_1647753038408.pdf
Mark Russinovich - Windows Internals, P1_1647753039219.pdf
Mark Russinovich - Windows Internals, P2_1647753040524.pdf
Programming Windows_1647753041273.pdf
The Passionate Programmer_1647753041465.pdf