How to Think Like a Computer Scientist Learning with Python 学习linux下Python脚本的必备书籍
deep+learning 技术资料
汇集 deep+learning 相关的电路原理图、PCB工程文件、单片机/FPGA源代码、数据手册与应用设计方案。
【英文篇名】 Analysis of Hardware and Software Environment in Networked Autonomous Learning 【作者中文名】 郑秀梅 刘韶芳 【作者英文名】 ZHENG Xiu-mei LIU Sh…
《How To Think Like A Computer Scientist Learning with C++》. Allen B. Downey写的关于c++的一本书。
< Learning MFC> 书的内容建立在对MSDN和MFC SOURCE CODE的大量分析上,该书对于希望学习MFC的人来说,是较有价值的。
·期刊论文:基于流媒体技术的局域网E—learning的研究与应用
介绍随机森林(Random Forest)最早的,最经典文献!LEO BREIMAN.Random Forests.Machine Learning, 45, 5–32, 2001
基本遗传学习分类系统 A Simple Classifier System based on Genetic Learning developed from the Pascal SCS code presented by David E.Goldberg
OReilly.Learning.Python.3rd.Edition.Oct.2007.pdf 最新的Oreilly出版的learning python第三版。全新的版本pdf格式。
wekaUT是 university texas austin 开发的基于weka的半指导学习(semi supervised learning)的分类器
C++编写的机器学习算法 Lemga is a C++ package which consists of classes for several learning models and generic algorithms for optimizing (t…