MTH 561: Lecture 30
Aimee Schwab-McCoy
MTH 561: Lecture 30
18:33
MTH 561: Lecture 29
Aimee Schwab-McCoy
MTH 561: Lecture 29
13:35
MTH 361: Lecture 23
Aimee Schwab-McCoy
MTH 361: Lecture 23
9:02
MTH 361: Lecture 22
Aimee Schwab-McCoy
MTH 361: Lecture 22
14:14
MTH 361: Lecture 21
Aimee Schwab-McCoy
MTH 361: Lecture 21
8:16
MTH 361: Lecture 20
Aimee Schwab-McCoy
MTH 361: Lecture 20
19:24
MTH 561: Lecture 27
Aimee Schwab-McCoy
MTH 561: Lecture 27
9:19
MTH 561: Lecture 28
Aimee Schwab-McCoy
MTH 561: Lecture 28
7:45
MTH 561: Lecture 26
Aimee Schwab-McCoy
MTH 561: Lecture 26
13:22
MTH 561: Lecture 25
Aimee Schwab-McCoy
MTH 561: Lecture 25
14:27
MTH 561: Lecture 24
Aimee Schwab-McCoy
MTH 561: Lecture 24
8:13
MTH 561: Lecture 23
Aimee Schwab-McCoy
MTH 561: Lecture 23
14:43
MTH 361: Lecture 19
Aimee Schwab-McCoy
MTH 361: Lecture 19
11:37
MTH 561: Lecture 22
Aimee Schwab-McCoy
MTH 561: Lecture 22
9:41
MTH 561: Lecture 21
Aimee Schwab-McCoy
MTH 561: Lecture 21
9:52
MTH 561: Lecture 20
Aimee Schwab-McCoy
MTH 561: Lecture 20
10:37
MTH 361: Lecture 18
Aimee Schwab-McCoy
MTH 361: Lecture 18
9:41
MTH 361: Lecture 17
Aimee Schwab-McCoy
MTH 361: Lecture 17
12:01
MTH 561: Lecture 19
Aimee Schwab-McCoy
MTH 561: Lecture 19
7:13
MTH 561: Lecture 18
Aimee Schwab-McCoy
MTH 561: Lecture 18
9:44
MTH 561: Lecture 17
Aimee Schwab-McCoy
MTH 561: Lecture 17
10:20
MTH 561: Lecture 16
Aimee Schwab-McCoy
MTH 561: Lecture 16
14:51
MTH 361: Lecture 16
Aimee Schwab-McCoy
MTH 361: Lecture 16
11:36
MTH 361: Lecture 15
Aimee Schwab-McCoy
MTH 361: Lecture 15
17:27
MTH 561: Lecture 15
Aimee Schwab-McCoy
MTH 561: Lecture 15
9:54
MTH 561: Lecture 14
Aimee Schwab-McCoy
MTH 561: Lecture 14
14:29
MTH 361: Lecture 14
Aimee Schwab-McCoy
MTH 361: Lecture 14
18:03
MTH 361: Lecture 13
Aimee Schwab-McCoy
MTH 361: Lecture 13
10:42
MTH 561: Lecture 13
Aimee Schwab-McCoy
MTH 561: Lecture 13
22:12
MTH 361: Lecture 12
Aimee Schwab-McCoy
MTH 361: Lecture 12
10:25
MTH 561: Lecture 12
Aimee Schwab-McCoy
MTH 561: Lecture 12
12:13
MTH 361: Lecture 11
Aimee Schwab-McCoy
MTH 361: Lecture 11
26:26
MTH 561: Lecture 11
Aimee Schwab-McCoy
MTH 561: Lecture 11
14:47
MTH 361: Lecture 10
Aimee Schwab-McCoy
MTH 361: Lecture 10
26:04
MTH 561: Lecture 10
Aimee Schwab-McCoy
MTH 561: Lecture 10
6:57
MTH 361: Lecture 9
Aimee Schwab-McCoy
MTH 361: Lecture 9
12:40
MTH 561: Lecture 9
Aimee Schwab-McCoy
MTH 561: Lecture 9
6:25
MTH 561: Lecture 8
Aimee Schwab-McCoy
MTH 561: Lecture 8
14:02
MTH 361: Lecture 8
Aimee Schwab-McCoy
MTH 361: Lecture 8
12:27
MTH 361: Lecture 7
Aimee Schwab-McCoy
MTH 361: Lecture 7
22:23
MTH 561: Lecture 7
Aimee Schwab-McCoy
MTH 561: Lecture 7
8:23
MTH 361: Lecture 6
Aimee Schwab-McCoy
MTH 361: Lecture 6
14:42
MTH 561: Lecture 6
Aimee Schwab-McCoy
MTH 561: Lecture 6
16:52
MTH 361: Lecture 5
Aimee Schwab-McCoy
MTH 361: Lecture 5
13:04
MTH 561: Lecture 5
Aimee Schwab-McCoy
MTH 561: Lecture 5
16:31
MTH 561: Lecture 4
Aimee Schwab-McCoy
MTH 561: Lecture 4
13:20
MTH 361: Lecture 4 (Part 3)
Aimee Schwab-McCoy
MTH 361: Lecture 4 (Part 3)
11:52
MTH 361: Lecture 4 (Part 2)
Aimee Schwab-McCoy
MTH 361: Lecture 4 (Part 2)
13:18
MTH 361: Lecture 4 (Part 1)
Aimee Schwab-McCoy
MTH 361: Lecture 4 (Part 1)
11:47
MTH 361: Lecture 3
Aimee Schwab-McCoy
MTH 361: Lecture 3
18:56
MTH 561: Lecture 3
Aimee Schwab-McCoy
MTH 561: Lecture 3
12:02
MTH 561: Lecture 2
Aimee Schwab-McCoy
MTH 561: Lecture 2
22:20
MTH 361: Lecture 2
Aimee Schwab-McCoy
MTH 361: Lecture 2
14:05
MTH 361: Lecture 1
Aimee Schwab-McCoy
MTH 361: Lecture 1
6:31
MTH 561: Lecture 1
Aimee Schwab-McCoy
MTH 561: Lecture 1
11:43
Moving Backwards with R: useR! 2020
Aimee Schwab-McCoy
Moving Backwards with R: useR! 2020
15:01
Data Science 101: UC Berkeley Workshop on Data Science Education
Aimee Schwab-McCoy
Data Science 101: UC Berkeley Workshop on Data Science Education
4:27
MTH 366: Interpretable Machine Learning (Part 1)
Aimee Schwab-McCoy
MTH 366: Interpretable Machine Learning (Part 1)
19:02
MTH 366: Interpretable Machine Learning (Part 2)
Aimee Schwab-McCoy
MTH 366: Interpretable Machine Learning (Part 2)
18:12
MTH 366: Deep Learning (Part 1)
Aimee Schwab-McCoy
MTH 366: Deep Learning (Part 1)
28:13
MTH 366: Deep Learning (Part 2)
Aimee Schwab-McCoy
MTH 366: Deep Learning (Part 2)
22:34
New TA introduction
Aimee Schwab-McCoy
New TA introduction
1:02
MTH 360: Introduction to ANOVA
Aimee Schwab-McCoy
MTH 360: Introduction to ANOVA
20:06
MTH 361: Introduction to ANOVA
Aimee Schwab-McCoy
MTH 361: Introduction to ANOVA
20:27
MTH 366: Principal Components Analysis
Aimee Schwab-McCoy
MTH 366: Principal Components Analysis
28:23
MTH 361: Introduction to Correlation
Aimee Schwab-McCoy
MTH 361: Introduction to Correlation
16:16
MTH 360: Introduction to Correlation
Aimee Schwab-McCoy
MTH 360: Introduction to Correlation
19:07
MTH 366: Clustering
Aimee Schwab-McCoy
MTH 366: Clustering
23:31
MTH 361: Introduction to Linear Regression
Aimee Schwab-McCoy
MTH 361: Introduction to Linear Regression
23:25
MTH 360: Introduction to Linear Regression
Aimee Schwab-McCoy
MTH 360: Introduction to Linear Regression
23:00
MTH 360: Introduction to Multiple Regression
Aimee Schwab-McCoy
MTH 360: Introduction to Multiple Regression
16:57
MTH 361: Multiple Regression
Aimee Schwab-McCoy
MTH 361: Multiple Regression
20:14
MTH 360: Comparing Two Sample Means
Aimee Schwab-McCoy
MTH 360: Comparing Two Sample Means
16:55
MTH 361: Comparing Means of Two Groups
Aimee Schwab-McCoy
MTH 361: Comparing Means of Two Groups
19:40
MTH 361: Introduction to Numerical Data with the t-Distribution
Aimee Schwab-McCoy
MTH 361: Introduction to Numerical Data with the t-Distribution
19:39
MTH 360: Introduction to Numerical Data and the t-Distribution
Aimee Schwab-McCoy
MTH 360: Introduction to Numerical Data and the t-Distribution
18:52
MTH 366: Support Vector Machines
Aimee Schwab-McCoy
MTH 366: Support Vector Machines
19:48
MTH 361: January 11 Video
Aimee Schwab-McCoy
MTH 361: January 11 Video
35:50
Navigating RStudio Cloud
Aimee Schwab-McCoy
Navigating RStudio Cloud
11:55
MTH 361: Describing and Displaying Data (Section 3)
Aimee Schwab-McCoy
MTH 361: Describing and Displaying Data (Section 3)
42:21
MTH 360: Describing and Displaying Data (Section 3)
Aimee Schwab-McCoy
MTH 360: Describing and Displaying Data (Section 3)
45:01
MTH 366: Naive Bayes (continued)
Aimee Schwab-McCoy
MTH 366: Naive Bayes (continued)
38:25
MTH 366: k-nearest neighbors
Aimee Schwab-McCoy
MTH 366: k-nearest neighbors
1:14:30
MTH 366: February 6, 2020
Aimee Schwab-McCoy
MTH 366: February 6, 2020
1:08:15
MTH 366: February 11
Aimee Schwab-McCoy
MTH 366: February 11
1:12:22
MTH 366: February 13
Aimee Schwab-McCoy
MTH 366: February 13
56:59
MTH 366: February 27
Aimee Schwab-McCoy
MTH 366: February 27
1:14:06
MTH 366: Decision Trees
Aimee Schwab-McCoy
MTH 366: Decision Trees
33:15