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Machine learning an algorithmic perspective
- 机器学习(Machine Learning, ML)是一门多领域交叉学科，涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能(Machine learning (Machine Learning ML) is an interdisciplinary subject, involving probability and statistics, approximation th
Pattern Recognition and Machine Learning
- 机器学习和图像识别，自有资源上传，不是原创(Machine learning and image recognition)
Deep-learning
- 深度学习与机器学习经典之作，欢迎大家下载越读~~~~(Deep learning and machine learning)
3873OS_Code
- machine learning source code from book
DEEP_LEARNING
- An analysis of single-layer networks in unsupervised feature learning
BP学习算法在CNN发电机建模中应用
- BP学习算法在CNN发电机建模中应用 Deep learning(the application of BP learning algorithm in modeling off CNN electric machine)
deeplearning
- Deep Learning Tutorial Release 0.1 LISA lab, University of Montreal September 01, 2015
machinelearninginaction
- 机 器 学 习 实 战 源 码(Machine learning combat source)
Pattern Recognition and Machine Learning
- 这是机器学习的经典书籍，理论深入，值得研究(This is a classic book of machine learning, in-depth theory, worthy of study)
Dynamic Programming and Reinforcement Learning
- 动态规划强化学习的课程作业，有详细的问题描述，问题分析，以及具体源代码(The One-Site Tree Cutting Problem By Dynamic Programming and Reinforcement Learning)
Machine Learning in Python(2015)
- 机器学习Python教程，见解精髓，适合入门和进阶用，需要较好的编程和数学基础(Machine Learning in Python(2015))
DeepLearningImageClassificationExample
- Image Category Classification Using Deep Learning
SpringCloud-Learning-master
- SpringCloud-Learning-master.zip
Learning Vector Quantization
- Learning Vector Quantization
machine-learning-ex1
- this document deals with machine learning
DeepLearning
- 包含神经网络、卷积神经网络、深度信念网络等深度学习程序，该程序可以用于语音识别、分类等处。(Deep learning programs including neural network, convolutional neural network and deep belief network can be used for speech recognition, classification and so on.)
InvPend
- Q learning for inverse pendulum
deeplearning
- 一个台湾人写的深度学习算法入门教程。适合掌握一定数学知识的玩家(An introductory tutorial on deep learning algorithms written by Taiwanese. A player suitable for a certain number of mathematical knowledge)
Deep+learning+with+tensorflow+2017.4
- Deep+learning+with+tensorflow+2017.4,关于tensorflow最新的教程。(Deep+learning+with+tensorflow+2017.4, the latest tutorial on tensorlfow.)
李航_统计学习方法
- 《统计学习方法》是计算机及其应用领域的一门重要的学科。《统计学习方法》全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(The statistical learning method is an important subject in the field of computer and its application.)