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
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