搜索资源列表
MLiA_SourceCode
- 机器学习实战，作者peter harrington著，里面有源码和资源文件(Machine learning combat source code and resource files)
2012.李航.统计学习方法 - 副本
- 李航老师的统计学习，对于学习机器学习挺有用的，尤其是理由一些算法的思想，希望能帮到大家。(Teacher Li Hang's statistics study, hoped that can help everybody)
Machine Learning and Portfolio Optimization
- 机器学习在量化投资领域的综述，涉及组合优化理论、及机器学习的相关算法。(Machine Learning and Portfolio Optimization)
clustering
- 包括层次聚类和密度聚类的效果对比，是机器学习入门的好东西(Including hierarchical clustering and density clustering effect contrast, is a good machine learning entry)
基于机器学习的时间序列预测关键技术研究
- 利用ELM进行预测，配合震荡盒理论的交易策略的一个交易系统设置。(A trading system is set up by using ELM to predict the trading strategy in conjunction with the shock box theory.)
machinelearninginaction
- 机器学习实战的所有Python源码与数据集，可以直接运行(The datasets and source codes of Machine Learning in Action)
Introduction to Machine Learning
- 机器学习导论第三版 原版英文。需要汉语版本的留言还有课后答案(Alpaydin - Introduction to Machine Learning 3rd -)
高风代码
- 本内容是有关机器学习的包含贝叶斯分类器，随机森林，支持向量机，神经网络，logistic多元回归等(The contents of this paper are machine learning, including Bayesian classifier, random forest, support vector machines, neural network, logistic multiple regression and so on)
dollar
- 基于$1和opencv机器学习方法的图像识别(Image recognition based on machine learning method based on $1 and opencv)
deeplearningbook-chinese-master
- Python机器学习代码示例，包含了全部的书本的代码示例，可以通过jupyter notebook直接运行文件显示结果(Python Machine Learning)
KPCAomit
- 使用kpca方法进行特征提取，用作机器学习的第一步(Use kpca method for feature extraction, as the first step in machine learning)
code
- 这是关于Python机器学习的一整套资料(Python machine learning)
hmm机器学习
- HMM(隐马尔科夫模型)是自然语言处理中的一个基本模型，用途比较广泛，如汉语分词、词性标注及语音识别等，在NLP中占有很重要的地位(HMM (hidden Markov model) is a basic model in Natural Language Processing, which is widely used, such as Chinese segmentation, part of speech tagging and speech recognition, and plays
boyilun
- python 代码，机器学习基础学习，算法。(Python code, machine learning, basic learning, algorithms.)
machine learning_ex1_simple
- 第二周的简单机器学习答案。。。。。。。。。。。。。(warmUpExercise.m plotData.m gradientDescent.m computeCost.m For this part of the exercise, you will need to change some parts of the code below for various experiments (e.g., changing learning rates)
斯坦福大学机器学习课程个人学习笔记（上）
- 机器学习很好的资料，对于任何专业的学生都适用(Machine learning very good information for any professional students are applicable)
BIRCH算法
- 机器学习用分类的一种算法，用C语言实现，比较成熟的一种算法的。(An algorithm for classification of machine learning, implemented in C language)
science_competion_net
- 不错的机器学习实战案例，可以直接运行出结果。(Good machine learning actual cases, you can directly run the results.)
chapter28
- 机器学习的决策树问题算法matlab实现，有注释和源码(Machine learning decision tree algorithm matlab implementation, with notes and source code)
tensorflow-master
- 这是机器学习领域一个很重要的框架tensorflow的源码(This is a very important framework for machine learning, the source code of tensorflow)