搜索资源列表
Learning-OpenCV
- 学习OpenCV，这是中文的版本，加入了标签功能，十分推荐大家阅读使用-Learning OpenCV, it is the Chinese version, adding the labels, highly recommend you read the
reinforfcement-learning
- 强化学习在认知无线电领域的应用，很有价值的英文参考资料。-Reinforcement learning in the field of cognitive radio applications, valuable reference materials in English.
Iterative-learning
- 关于迭代学习的比较好的文章，迭代学习在间歇过程中的控制研究-Good article on the iterative learning
Statistical-Learning-Theory-Vapnik
- 统计学习理论 Vapnik 本书是对统计学习理论和支持向量机方法的全面、系统、详尽的阐述，是各领域中研究和应用机器学习理论与方法的科研工作者和研究生的重要参考资料。-Statistical learning theory Vapnik book of statistical learning theory and support vector machine method of comprehensive, systematic and detailed exposition of the
Statistical-Learning-Theory
- 资料中含有统计学习理论和支持向量机的多篇论文-With statistical learning theory and support vector machines papers
perl-learning
- perl的入门经典书，非常好，叙述清楚，帮助你迅速入门-perl learning
machine-learning-courses_stanford
- 斯坦福大学Andrew Ng讲授的机器学习课程的全程讲义及录音对应的文字资料,对许多常用机器学习算法有着深入系统的讲解。-The notes of Machine learning courses in Stanford University。
Discrimination-Dictionary-Learning
- Metaface Learning for Sparse Fisher Discrimination Dictionary Learning for Sparse Representation
Machine.Learning.Vision-Based.Motion
- 本书从机器学习的角度介绍了基于视觉的运动分析领域的最新算法和系统。-Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visua
machine learning 的线性回归算法
- andrew ng 教授在machine learning 上的线性回归算法matlab代码，对于学习机器学习的新手是一个很好的入门课程
machine-learning-ex4
- 吴恩达的coursesra作业for week 5.(Coursera machine learning code for week 5.)
Overview of Multi Task Learning
- 这是一篇综述，主要是关于基于深度学习的多任务学习的一些进展。(An Overview of Multi-Task Learning in Deep Neural Networks)
Python-Machine-Learning-Blueprints-master
- Python 是当前普遍使用的流行语言，并纳入了科学计算和机器学习的内容，本文件是一个Python机器学习工具包。(Python is a popular language currently used and incorporated into the contents of scientific computing and machine learning. This document is a Python machine learning toolkit.)
machine learning
- 第5章机器学习 5.2 神经网络学习 5.3 因果信念网络学习(The fifth chapter, machine learning 5.2 neural network learning 5.3 causal beliefs online learning)
Machine Learning with R
- Machine Learning with R
machine-learning-ex8
- 吴恩达老师Cousera上机器学习课程ex8关于协同滤波(Collaborative filtering learning algorithm)的向量化实现以及相关测试数据。(Teacher Andrew Ng Cousera machine learning courses, ex8 Collaborative filtering learning algorithm on the vector implementation and related test data.)
Q-Learning-in-Python-master
- 使用python简单实现q-learning的功能(Simple implementation of q-learning function using python)
L1 Machine Learning to Deep Learning Subtitles
- Deep learning for machine learning aspirants
machine-learning-ex4
- 机器学习测试题及答案，自己编写程序，亲测可以运行。(machine learning online test 4 questions and my answer.)
machine-learning-ex1
- machine learning is perfect