Data Science for Biologists by Nathan Kutz, Bing Brunton and Steve L. Brunton

source: Data4Bio    2016年6月8日
Course Website: data4bio.com
Instructors:
Nathan Kutz: faculty.washington.edu/kutz
Bing Brunton: faculty.washington.edu/bbrunton
Steve Brunton: faculty.washington.edu/sbrunton

1 2:23 Data Science for Biologists: Introductory Overview
2 19:34 Numerical Calculus: Differential Equations, Part 3
3 10:43 Numerical Calculus: Differential Equations, Part 2
4 8:44 Numerical Calculus: Differential Equations, Part 1
5 8:40 The Basics: Introduction to Matlab, Part 1
6 13:26 The Basics: Introduction to Matlab, Part 3
7 10:17 The Basics: Introduction to Matlab, Part 2
8 10:05 The Basics: Introduction to Matlab, Part 4
9 7:43 Data Fitting: Matlab Implementation, Part 2
10 11:47 Data Fitting: Basic Curve Fitting, Part 3
11 17:55 Dimensionality Reduction: Principal Components Analysis, Part 3
12 5:38 Regression: Linear Regression, Part 1
13 8:24 Plotting and Visualizing Data: Plotting, Part 1
14 20:19  Plotting and Visualizing Data: Data Visualization, Part 1
15 18:50 Clustering and Classification: Introduction, Part 2
16 8:31 The Basics: Loops and Logic, Part 4
17 9:08 The Basics: Loops and Logic, Part 2
18 8:00 The Basics: Loops and Logic, Part 3
19 15:16 The Basics: Loops and Logic, Part 1
20 17:41 Plotting and Visualizing Data: Data Visualization, Part 2
21 13:08 Dimensionality Reduction: Eigenpets, Part 1
22 17:55 Numerical Calculus: Differentiation, Part 2
23 22:42 Dimensionality Reduction: Eigenpets, Part 2
24 8:07 Regression: Linear Regression, Part 3
25 7:59 Numerical Calculus: Integration, Part 2
26 6:37 Regression: Linear Regression, Part 2
27 15:25 Numerical Calculus: Differentiation, Part 1
28 17:56 Numerical Calculus: Integration, Part 1
29 13:10 Regression: Linear Regression, Part 4
30 9:03 Numerical Calculus: Differentiation, Part 3
31 27:08 Clustering and Classification: Introduction, Part 1
32 7:23 Regression: Beyond Linear Regression, Part 3
33 18:19 Fourier Transforms: Image Compression, Part 2
34 10:30 Fourier Transforms: Image Compression, Part 3
35 17:03 Regression: Beyond Linear Regression, Part 2
36 19:21 Clustering and Classification: Introduction, Part 3
37 12:27 Data Fitting: Matlab Implementation, Part 1
38 9:44 Regression: Beyond Linear Regression, Part 1
39 12:10 Fourier Transforms: Image Compression, Part 1
40 8:38 Clustering and Classification: Advanced Methods, Part 4
41 16:19 Dimensionality Reduction: Principal Components Analysis, Part 2
42 13:56 Dimensionality Reduction: Principal Components Analysis, Part 1
43 9:34 Regression: Model Selection and Validation, Part 2
44 12:06 Data Fitting: Basic Curve Fitting, Part 1
45 11:14 Data Fitting: Basic Curve Fitting, Part 2
46 10:10 Fourier Transforms: Discrete Fourier Transform, Part 1
47 27:01 Clustering and Classification: Advanced Methods, Part 1
48 11:59 Fourier Transforms: Fast Fourier Transform, Part 1
49 12:37 Regression: Model Selection and Validation, Part 3
50 9:17 Data Fitting: Basic Curve Fitting, Part 3
51 8:24 Plotting and Visualizing Data: Plotting, Part 2
52 10:20 Fourier Transforms: Fast Fourier Transform, Part 2
53 18:19 Fourier Transforms: Discrete Fourier Transform, Part 3
54 4:15 Data Fitting: Basic Curve Fitting, Part 4
55 16:50 Plotting and Visualizing Data: Plotting, Part 3
56 11:12 Regression: Model Selection and Validation, Part 1
57 16:41 Clustering and Classification: Advanced Methods, Part 2
58 9:29 Fourier Transforms: Fast Fourier Transform, Part 3
59 15:08 Fourier Transforms: Discrete Fourier Transform, Part 2
60 12:45 Dimensionality Reduction: High Dimensional Data, Part 1
61 16:39 Systems of Equations: Eigenvalues and Eigenvectors, Part 2
62 11:36 Systems of Equations: Eigenvalues and Eigenvectors, Part 1
63 11:01 Systems of Equations: Solving Linear Systems, Part 4
64 6:13 Data Fitting: Polynomial Fitting and Splines, Part 3
65 8:56 Systems of Equations: Solving Linear Systems, Part 1
66 17:22 Systems of Equations: Solving Linear Systems, Part 2
67 11:58 Systems of Equations: Eigenvalues and Eigenvectors, Part 4
68 7:35 Data Fitting: Polynomial Fitting and Splines, Part 2
69 11:19 Systems of Equations: Eigenvalues and Eigenvectors, Part 3
70 6:07 Plotting and Visualizing Data: Communicating with Data, Part 3
71 14:51 Plotting and Visualizing Data: Communicating with Data, Part 2
72 9:42 Plotting and Visualizing Data: Communicating with Data, Part 1
73 15:35 Systems of Equations: Modeling with Matrices and Vectors, Part 3
74 12:10 Systems of Equations: Modeling with Matrices and Vectors, Part 2
75 19:03 Clustering and Classification: Support Vector Machines and Decision Trees, Part 1
76 7:54 Clustering and Classification: Support Vector Machines and Decision Trees, Part 3
77 22:00 Clustering and Classification: Support Vector Machines and Decision Trees, Part 2
78 3:08 Data Science for Biologists: Introduction to the Lightboard
79 3:40 Data Science for Biologists: Introduction to Matlab
80 3:04 Data Science for Biologists: Syllabus