Statistical Learning: 4.Py Linear Discriminant Analysis (LDA) I 2023
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing
Trevor Hastie, Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/trevor-j-hastie
Robert Tibshirani, Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/people/robert-tibshirani
Jonathan Taylor, Professor Statistics at Stanford University - https://statistics.stanford.edu/people/jonathan-taylor
You are able to take Statistical Learning as an online course on EdX, and you are able to…
Watch on YouTube ↗
(saves to browser)
Playlist
Uploads from Stanford Online · Stanford Online · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Statistical Learning: 13.2 Introduction to Multiple Testing and Family Wise Error Rate
Stanford Online
Statistical Learning: 13.1 Introduction to Hypothesis Testing II
Stanford Online
Statistical Learning: 12.R.3 Hierarchical Clustering
Stanford Online
Statistical Learning: 12.R.2 K means Clustering
Stanford Online
Statistical Learning: 12.R.1 Principal Components
Stanford Online
Statistical Learning: 13.R.1 Bonferroni and Holm II
Stanford Online
Statistical Learning: 12.6 Breast Cancer Example
Stanford Online
Statistical Learning: 12.5 Matrix Completion
Stanford Online
Statistical Learning: 12.4 Hierarchical Clustering
Stanford Online
Statistical Learning: 12.3 k means Clustering
Stanford Online
Statistical Learning: 13.1 Introduction to Hypothesis Testing
Stanford Online
Stanford Seminar - Introduction to Web3
Stanford Online
Stanford Seminar - Designing Equitable Online Experiences
Stanford Online
Stanford CS330: Deep Multi-Task & Meta Learning I 2021 I Lecture 1
Stanford Online
Stanford Seminar - Perceiving, Understanding, and Interacting through Touch
Stanford Online
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 2
Stanford Online
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 3
Stanford Online
Stanford CS330: Deep Multi-Task & Meta Learning I 2021 I Lecture 4
Stanford Online
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 5
Stanford Online
Stanford Seminar - Evolution of a Web3 Company
Stanford Online
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 6
Stanford Online
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 7
Stanford Online
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 8
Stanford Online
Stanford Seminar - Designing Human-Centered AI Systems for Human-AI Collaboration
Stanford Online
The Sh*tFixers: Bob Sutton Interviews David Kelley, Design Thinking Superstar
Stanford Online
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 9
Stanford Online
Women Rise: Sheri Sheppard
Stanford Online
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 10
Stanford Online
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 11
Stanford Online
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 12
Stanford Online
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 13
Stanford Online
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 14
Stanford Online
Stanford Webinar - Cloud Computing: What’s on the Horizon with Dr. Timothy Chou
Stanford Online
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 15
Stanford Online
Stanford Seminar - Multi-Sensory Neural Objects: Modeling, Inference, and Applications in Robotics
Stanford Online
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 16
Stanford Online
Stanford Seminar - Toward Better Human-AI Group Decisions
Stanford Online
Stanford CS330: Deep Multi-Task & Meta Learning I 2021 I Lecture 17
Stanford Online
Stanford CS330: Deep Multi-Task & Meta Learning I 2021 I Lecture 18
Stanford Online
Stanford Webinar - Web3 Considered: Possible Futures for Decentralization and Digital Ownership
Stanford Online
Stanford Seminar - Ethics Governance-in-the-Making: Bridging Ethics Work & Governance Menlo Report
Stanford Online
Stanford Seminar - Towards Generalizable Autonomy: Duality of Discovery & Bias
Stanford Online
Stanford Seminar - ML Explainability Part 1 I Overview and Motivation for Explainability
Stanford Online
Stanford Seminar - ML Explainability Part 2 I Inherently Interpretable Models
Stanford Online
Stanford Seminar - ML Explainability Part 3 I Post hoc Explanation Methods
Stanford Online
Kratika Gupta talks about Stanford's Product Management Program
Stanford Online
Stanford Webinar - CRISPR - 10 Years of Genome Editing and More
Stanford Online
Stanford Seminar - Making Teamwork an Objective Discipline - Sid Sijbrandij CEO & Chairman of GitLab
Stanford Online
Stanford Seminar - ML Explainability Part 4 I Evaluating Model Interpretations/Explanations
Stanford Online
Stanford Seminar - Adaptable Robotic Manipulation Using Tactile Sensors
Stanford Online
Stanford Seminar - ML Explainability Part 5 I Future of Model Understanding
Stanford Online
Meet Joe Lapin, Innovation and Entrepreneurship Program Completer
Stanford Online
Stanford Seminar: Social Media Scrutiny of Frontline Professionals & Implications for Accountability
Stanford Online
Stanford Seminar - Alphy and Alphy Reflect: creating a reflective mirror to advance women
Stanford Online
Stanford Webinar - The Digital Future of Health
Stanford Online
Stanford CS229M - Lecture 1: Overview, supervised learning, empirical risk minimization
Stanford Online
Stanford CS229M - Lecture 2: Asymptotic analysis, uniform convergence, Hoeffding inequality
Stanford Online
Stanford CS229M - Lecture 3: Finite hypothesis class, discretizing infinite hypothesis space
Stanford Online
Stanford Seminar - Decentralized Finance (DeFi)
Stanford Online
Stanford CS229M - Lecture 4: Advanced concentration inequalities
Stanford Online
DeepCamp AI