Data Science (Fall 2016) by John Guttag at MIT

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source: MIT OpenCourseWare      2017年12月3日
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016
View the complete course: http://ocw.mit.edu/6-0002F16
Instructor: John Guttag
This course provides students with an understanding of the role computation can play in solving problems. Student will learn to write small programs using the Python 3.5 programming language. More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

1 40:57 Introduction and Optimization Problems
2 48:04 Optimization Problems
3 50:11 Graph-theoretic Models
4 49:50 Stochastic Thinking
5 49:21 Random Walks
6 50:05 Monte Carlo Simulation
7 50:29 Confidence Intervals
8 46:45 Sampling and Standard Error
9 47:06 Understanding Experimental Data
10 50:33 Understanding Experimental Data (cont.)
11 51:31 Introduction to Machine Learning
12 50:40 Clustering
13 49:54 Classification
14 49:25 Classification and Statistical Sins
15 44:43 Statistical Sins and Wrap Up