Book list

Head First Design Patterns

An Introduction to Design Patterns in C++ with Qt4

Design Patterns: Elements of Reusable Object-Oriented Software

Modern C++ Design--Generic Programming and Design Patterns Applied

An Introduction to Design Patterns

Design Patterns by Example

Operating System Concepts 8th Edition

Computer System: A Programmer's Perspective 2nd Edition

Modern Operating Systems 4th Edition

Pattern Recognition and Machine Learning

Leetcode-cpp

C++ Primer 5th Edition

Ivor Horton's Beginning Visual C++ 2010

Beginning Visual C# 2010

Professional C# 2008

C++ GUI Programming With Qt4 2nd Edition

The C++ Standard Library: A Tutorial and Reference

Professional C++

Expert C Programming: Deep Secrets

Thinking in C++

Effective C++

Effective STL

Moving to Microsoft Visual Studio 2010

Dragon Book Compilers Principle Techniques and Tools

Compiler Construction Principles and Practice

Engineering A Compiler 2nd Edition

Parsing Techniques

Algorithms 4th Edition Princeton University

Digital Image Processing Gonzales

Video Signal Processing

Image Analysis and Pattern Recognition

Computer Vision Algorithms and Applications

Computer Vision A Modern Approach

Multiple View Geometry in Computer Vision

Neural Networks and Deep Learning

Machine Learning

统计学习方法

C++从入门到精通

Teach Yourself Java in 21 Days

Beginning Java 7 Jeff Frieson

Beginning JavaScript 5th Edtion

Machine Learning in Action

Programming Collective Intelligence

Artificial Intelligence A Modern Approach

The Elements of Statistical Learning Data Mining Inference and Prediction

Automate the boring stuff with python

机器学习 周志华

cuda c programming guide

CUDA by example: an introduction to general purpose gpu programming

Python for Data Analysis

The Pragmatic Programmer: From Journeyman to Master

Code Complete

Introduction to Algorithms 3rd Edition

Machine Learning: A Probabilistic Perspective

Python Network Programming

Python Cookbook

Core Python Programming

C++ Cookbook

The Art of Computer Programming

The Pragmatic Programmer

The aosa book

Python 学习手册(Learning Python)

Structure and Interpretation of Computer Programs

Core Python Application Programming

C++ 标准库

windows 核心编程

C++ concurrency in action

Deep Learning: Methods and Applications

Machine Learning

Machine Learning An Algorithmic Perspective

Speech and Language Processing

Illustrated C#

Beginning Microsoft C#

C# cookbook

Database Principles Programming and Performance

Stanford cs231a, computer vision, from 3d reconstruction to recognition

Stanford cs231b, the cutting edge of computer vision

Stanford cs231n, convolutional neural networks for visual recognition

Stanford cs224, deep learning for natural language processing

www.deeplearningbook.org, Goodfellow.

http://www.visionbib.com/bibliography/contents.html

Computer vision: models, learning and inference:http://www.computervisionmodels.com/

learning opencv.

learning CUDA.

introduction to programming using java

learning java

learning javascript

The Boost C++ Library.

learning opencv 3 http://www.bogotobogo.com/cplusplus/files/OReilly%20Learning%20OpenCV.pdf

Beginning C# 6 Programming with Visual Studio 2015, Professional C# 6 and .Net Core 1.0, Writing High-Performance .Net Code. Microsoft .NET:Architecturing Applications for the Enterprise.

Introduction to information retrieval

Neural Network Methods for Natural Language Processing

Deep Learning With Keras

Natural Language Processing With Python.

www.academia.edu

Convex optimization

Introduction to operations research

Linear programming

Numerical optimization

Introduction to linear optimization

Optimization methods

Introduction to mathematical programming

Operations Research: An Introduciton

Hands on machine learning with scikit-learn and tensorflow: concept, tools and techniquies to build intelligent systems.

Deep learning with python, Francois Chollet

Deep Learning for Computer Vision

Deep Learning in Object Detection and Recognition

Domain Adaptation in Computer Vision Applications

Computer Graphics Principles and Practices

Fundamentals of Computer Graphics

OpenGL, Coursera Computer Graphics

Clean Architecure, A Craftsman's Guide To Software Structure And Design

Design Data Insentive Applications

Stanford CS228, Probalistic Graphical Models:Principles and Techniques, CS229 Machine Learning, CS229T Statistical Learning Theory.

The Linux Command Line, The Linux Programming Interface

Fluent Python

Probabilistic Graph Models, Principles and Techniques, Coursera Specialization

Cython A Guide for Programmers