资源列表
人工智能
- 从生物学开始到自然语言挖掘介绍人工智能，通识性的文档，对人工智能入门有极大的帮助。(From biology to natural language mining, the introduction of artificial intelligence, general knowledge documents, has a great help to the introduction of artificial intelligence.)
time-sequence
- 数据挖掘，时间序列分析算法的实现和应用，python语言开发-data miniing
专利文本分类
- 对大量的专利文本文件进行处理，然后利用机器学习的算法进行挖掘，实现对专利的分类(A large number of patent text files are processed, and then machine learning algorithm is used for mining.)
ensemble_2.0
- 集成分类器，用于软判决。 常用于图像隐写和隐写分析。-Integrated classifier for soft decision.
SOPMIPwindowbuilder
- 最近提出的利用互信息算法来计算词语权重，对细粒度情感分析是十分重要的一步。-Recently proposed mutual information algorithm to calculate the weight of the words, fine-grained sentiment analysis is a very important step.
机器学习实战
- 数据实战，机器学习，一本经典书籍，值得一看(machine learning is the most popular area now,this book is very suitable for newers)
机器学习实战
- 机器学习是人工智能研究领域中一个极其重要的研究方向，在现今的大数据时代背景下，捕获数据并从中萃取有价值的信息或模式，成为各行业求生存、谋发展的决定性手段，这使得这一过去为分析师和数学家所专属的研究领域越来越为人们所瞩目。(Machine learning is an extremely important research direction in the field of artificial intelligence. Under the background of the large da
nlp7294
- 22w条打好标签的数据，供短文本主题分类使用(22W labeled data for short text topic classification)
从零开始学Python网络爬虫源代码+教学PPT
- 《从零开始学爬虫》的配套资料（PPT和源码）("Learning Reptiles from Zero" (PPT and Source))
Data_Mining
- 这是关于《数据挖掘》相关理论的课程PPT，内容详尽，通俗易懂，是不可多得的学习资料，现在上传与大家共享！-This is the course PPT data mining of the theory of detailed, easy to understand, is a rare learning materials, now upload and share!
workflowsim
- workflowsim工作流仿真和模拟，包括各种例子和说明-workflowsim workflow simulation and modeling, including examples and illustrations
java网络爬虫
- 是一个无须配置、便于二次开发的JAVA爬虫框架（内核），它提供精简的的API，只需少量代码即可实现一个功能强大的爬虫(Is a JAVA reptile framework (kernel) that does not need to be configured for easy development. It provides a streamlined API that requires a small amount of code to implement a powerful crawl