搜索资源列表
MLSS-kyoto2015
- 机器学习相关课件，2015京都机器学习summer school课件，包括Stephen boyd以及Alex smola讲课的课件，cvx啊之类的-2015kyoto machine learning summer school ppt，Stephen boyd，Alex smola. cvx
Learning_Deep_Architectures_for
- Learning_Deep_Architectures_for_AI,机器学习经典学习材料。-Learning Deep_Architectures for AI
ex1_003(Week2)_finished
- NG的机器学习案例，一系列的算法仿真程序及课程讲解，对初学者很有帮助 week2课程-meachine learning
Li-Hang-Machine-learning-process
- 李航博士的机器学习过程，以及对机器学习中的各类算法点评，很实用。-Dr. Li Hang Machine learning process, as well as various types of machine learning algorithms reviews, very practical.
Comparing--algorithm
- 机器学习算法的比较，里面是当前常用的各个机器学习算分优缺点评述-Compare machine learning algorithm, which is currently common advantages and disadvantages of each machine learning algorithm stars Review
machine--Learning-concept
- 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。 它是人工智能的核心，是使计算机具有智能的根本途径，其应用遍及人工智能的各个领域，它主要使用归纳、综合而不是演绎。-Machine Learning (Machine Learning, ML) is more than one field of
ML
- 斯坦福大学Andrew Ng机器学习课程的中文笔记-Stanford University Andrew Ng Machine Learning Course in Chinese
machine-learning
- 周志华老师的西瓜书,买了有一段时间了,内容、排版和印刷都非常不错,值得作为机器学习的系统学习书籍。-Zhou Zhihua teacher of the watermelon book, bought for some time, content, layout and printing are very good, it is worth learning as a machine learning system books
machine-learning_notes_andrew-NG
- 机器学习笔记由著名的专家Andrew NG编写，适合初学者学习。-machine learning_notes_andrew NG，which is the notes of the machine learning lecture.
adadelta.pdf
- 是一篇关于机器学习中参数优化的文章，文章介绍了很多之前的优化算法，又提出了adadelta这种优化算法。- U662F u4E00 u7BC7 u5173 u4E8E u673A u5668 u5B66 u4E60 u4E2D u53C2 u6570 u4F18 u5316 u7684 u6587 u7AE0 uFF0C u6587 u7AE0 u4ECB u7ECD u4E86 u5F88 u591A u4E4B u524D u7684
challenge-in-machine-learning
- 本文主要介绍的是机器学习的挑战，并介绍了微软的Azure（机器学习云服务）。-This paper describes the challenges of machine learning, and describes the Microsoft azure (machine learning cloud services)
fgwtv
- 是机器学习的例程，包含收发两个客户端程序，插值与拟合的matlab实现。- Machine learning routines, Transceiver contains two client programs, Interpolation and fitting matlab implementation.
4236
- matlab程序运行时导入数据文件作为输入参数，是机器学习的例程，可以广泛的应用于数据预测及数据分析。- Import data files as input parameters matlab program is running, Machine learning routines, Can be widely used in data analysis and forecast data.
3648
- 包括数据分析、绘图等等,图像的光流法计算的matlab程序,是机器学习的例程。- Data analysis, plotting, etc., Image optical flow calculation matlab program, Machine learning routines.
qie-V3.2
- AHP层次分析法计算判断矩阵的最大特征值,是机器学习的例程，是信号处理的基础。- Calculate the maximum eigenvalue judgment matrix of AHP, Machine learning routines, Is the basis of the signal processing.
7010
- 是机器学习的例程，最大信噪比的独立分量分析算法，在matlab环境中自动识别连通区域的大小。- Machine learning routines, SNR largest independent component analysis algorithm, Automatic identification in the matlab environment the size of the connected area.
nyaks
- 用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,数据模型归一化，模态振动，是机器学习的例程。- Monte Carlo simulation method of calculating the American option price and basic descr iption, Normalized data model, modal vibration, Machine learning routines.
cerfe
- 基于负熵最大的独立分量分析，是机器学习的例程，抑制载波型差分相位调制。- Based on negative entropy largest independent component analysis, Machine learning routines, Suppressed carrier type differential phase modulation.
qbade
- 包括脚本文件和函数文件形式，是机器学习的例程，信号维数的估计。- Including scr ipt files and function files in the form, Machine learning routines, Signal dimension estimates.
ReinforcementLearning-master-(1)
- 强化学习 机器学习语言 matlab试用程序-Reinforcement Learning-master