开放课程——热门课程(TOP100)

1
[英语]Preference elicitation and inverse reinforcement learning[偏好诱导和逆强化学习]
  Constantin A. Rothkopf(法兰克福高级研究所) We state the problem of inverse reinforcement learning in terms of preference elicitation, resulting in a principled (Bayesian) statistical formulatio...
热度:967

2
[英语]18.304 Undergraduate Seminar in Discrete Mathematics (MIT)[离散数学中的18.304个本科班(麻省理工学院)]
  Daniel Kleitman(麻省理工学院) This course is a student-presented seminar in combinatorics, graph theory, and discrete mathematics in general. Instruction and practice in written an...
热度:804

3
[英语]Psychology lab classes using PsychPy[心理学实验课使用psychpy]
  John Peirce(诺丁汉大学) These lab classes were developed at the University of Nottingham as part of the first year course in BSc (Hons) Psychology, with support from the High...
热度:719

4
[英语]3.22 Mechanical Behavior of Materials (MIT)[3.22材料力学行为(麻省理工学院)]
   Krystyn van Vliet(麻省理工学院) Here we will learn about the mechanical behavior of structures and materials, from the continuum description of properties to the atomistic and molecu...
热度:698

5
[英语]Large-Scale Sparse Logistic Regression [大型稀疏Logistic回归]
  Jieping Ye(亚利桑那州立大学) Logistic回归方法,已被广泛应用于数据挖掘,机器学习,计算机视觉的许多应用中一个著名的分类方法,生物信息学。稀疏Logistic回归嵌入特征选择使用L1范数正则化...
热度:638

6
[英语]6.824 Distributed Computer Systems Engineering (MIT)[6.824分布式计算机系统工程(麻省理工学院)]
  Prof. Robert Morris(麻省理工学院) This course covers abstractions and implementation techniques for the design of distributed systems. Topics include: server design, network programmin...
热度:601

7
[英语]2.016 Hydrodynamics (13.012) (MIT)[2.016流体力学(13.012)(麻省理工学院)]]
   Alexandra Techet(麻省理工学院) This course covers the development of the fundamental equations of fluid mechanics and their simplifications for several areas of marine hydrodynamics...
热度:596

8
[英语]14.384 Time Series Analysis (MIT)[14.384时间序列分析(MIT)]
  Schrimpf, Paul, Mikusheva, Anna(麻省理工学院) The course provides a survey of the theory and application of time series methods in econometrics. Topics covered will include univariate stationary a...
热度:595

9
[英语]GP-BayesFilters: Gaussian Process Regression for Bayesian Filtering[GP-BayesFilters:贝叶斯滤波高斯过程回归]
  Dieter Fox(计算机科学与工程系,华盛顿大学) 贝叶斯滤波的递归估计从传感器数据流的动态系统的状态。每个贝叶斯过滤器的主要组成部分是概率预报和观测模型。在机器人技术,这些模型通常是基于物理过程产生的...
热度:546

10
[英语]6.334 Power Electronics (MIT)[6.334电力电子技术(麻省理工学院)]
  Prof. David Perreault(麻省理工学院) 6.334 examines the application of electronics to energy conversion and control. Topics covered include: modeling, analysis, and control techniques; de...
热度:497