quyongyin

几篇当前主成分分析与核主成分分析的英文文献.(Several current principal component analysis and kernel principal component analysis )

golang 1.5 源码分析, 详细解析了golang的内存分配、协程等(golang 1.5 source reading book)

本书是由台湾张智星教授编著的有关MATLAB编程的基础教程，他不同于国内的一些书藉，是一本很好的参考资料。(This book is written by Professor Zhang Zhixing Taiwan edited on the basis of MATLAB programming tutorials, he is different from some of the domestic books, is a very good reference.)

python与机器学习实战教程，机器学习通过Python语言实现，通过大量的实例再现机器学习强大的生命力(Python and Machine Learning Practical Course. Machine Learning is realized by Python Language, and the powerful vitality of machine learning is reappeared through a large number of examples.)

Optisystem 模拟实例大全，初学应该不错(Optisystem simulate examples, good for new users)

相控阵雷达及其仿真技术：蔡庆宇著，包括最优估计，非线性滤波，机动目标跟踪，系统仿真技术等内容，是学习相控阵雷达技术的一本重要参考书(phased array radar and simulation technologies : a Qingyu, including optimal estimation, non-linear filtering, mobile target tracking, System simulation technology, learning phased array radar technology an important reference books)

《推荐系统实践》作者：项亮； 书籍全部章节配套源代码； 仅供学习分享，如有侵权立刻删除。(Author of Recommendation System Practice: Xiang Liang; All chapters of the book are accompanied by source code. For learning and sharing only. If there is any infringement, delete it immediately.)

计算机网络第五版： 计算机网络在信息时代中的作用， 因特网概述，网络的网络(Computer network Fifth Edition: the role of computer networks in the information age, Internet overview, network network)

说明：  A commented bash script to generate our final 2nd place solution can be found in make_kaggle_solution.sh. Running all the commands sequentially will probably take 7 - 10 days on recent consumer grade hardware. If you have multiple GPUs you can speed things up by doing training and feature extraction for the two networks in parallel. However, due to the computationally heavy data augmentation it may be far less than twice as fast especially when working with 512x512 pixel input images. You can also obtain a quadratic weighted kappa score of 0.839 on the private leaderboard by just training the 4x4 kernel networks and by performing only 20 feature extraction iterations with the weights that gave you the best MSE validation scores during training. The entire ensemble only achieves a slightly higher score of 0.845.

C++ Programming how to make C++ program