33:27

Deep Learning Applied to Immunology

04:47

How friendly gut bacteria could turn your immune system against you

14:45

Machine Learning to Identify Lab-of-Origin for Genetic Sequences

25:58

Genetic risk, autoimmunity, and the gut microbiome

15:22

Journal Club: AlphaFold

24:24

You CAN and SHOULD get involved with AI

06:20

Tech Ethics Practices to Implement at your Workplace

08:31

Foundations of Ethics

13:36

Advanced Technology is not a Substitute for Good Policy

18:53

What You Need to Know about Disinformation

09:06

How to Address the Machine Learning Diversity Crisis

08:31

7 Questions to Ask About Your Machine Learning Project

08:09

Humans are biased too, so why does machine learning bias matter?

21:45

Not all types of bias are fixed by diversifying your dataset

12:54

The Problem with Metrics, Feedback Loops, and Hypergrowth

07:07

All machine learning systems need ways to identify & address mistakes

13:00

What are Ethics and Why do they Matter? Machine Learning Edition

17:24

AI, Medicine, and Bias: Diversifying Your Dataset is Not Enough

01:38:25

Disinformation & Coronavirus (Data Ethics Lesson 1.1)

40:58

Intro to Language Modeling (NLP video 8)

23:57

Derivation of Naive Bayes & Numerical Stability (NLP video 6)

51:22

What you need to know about Disinformation (NLP video 19)

01:06:40

Topic Modeling with SVD & NMF (NLP video 2)

01:26:17

Algorithmic Bias (NLP video 16)

33:17

Understanding RNNs (NLP video 11)

51:29

Sentiment Classification with Naive Bayes & Logistic Regression, contd. (NLP video 5)

47:17

Word embeddings quantify 100 years of gender & ethnic stereotypes-- Nikhil Garg (NLP video 13)

37:34

Revisiting Naive Bayes, and Regex (NLP video 7)

01:49:22

ULMFit for non-English Languages (NLP Video 10)

55:17

The Transformer for language translation (NLP video 18)

59:42

Seq2Seq Translation (NLP video 12)

22:54

Introduction to the Transformer (NLP video 17)

01:35:17

Transfer learning (NLP video 9)

25:40

Text generation algorithms (NLP video 14)

33:06

Topic Modeling & SVD revisited (NLP video 3)

58:20

Sentiment Classification with Naive Bayes (NLP video 4)

22:42

What is NLP? (NLP video 1)

23:14

Implementing a GRU (NLP video 15)

20:10

How to Learn Deep Learning (when you’re not a computer science PhD)

06:23

There's no such thing as "not a math person"

01:36:31

Computational Linear Algebra 10: QR Algorithm to find Eigenvalues, Implementing QR Decomposition

01:39:59

Computational Linear Algebra 9: PageRank with Eigen Decompositions

02:08:37

Word Embeddings, Bias in ML, Why You Don't Like Math, & Why AI Needs You

01:35:49

Computational Linear Algebra 8: Numba, Polynomial Features, How to Implement Linear Regression

01:37:03

Computational Linear Algebra 7: Compressed Sensing for CT Scans

01:45:58

Computational Linear Algebra 6: Block Matrix Mult, Broadcasting, & Sparse Storage

01:40:59

Computational Linear Algebra 5: Robust PCA & LU Factorization

01:31:16

Computational Linear Algebra 4: Randomized SVD & Robust PCA

01:41:14

Computational Linear Algebra 3: Review, New Perspective on NMF, & Randomized SVD

01:40:44

Computational Linear Algebra 2: Topic Modelling with SVD & NMF

01:42:57

Computational Linear Algebra 1: Matrix Math, Accuracy, Memory, Speed, & Parallelization

13:53

Bias + Artificial Intelligence (in Medicine)

20:06

How to Learn Deep Learning when you are not a CS PhD

07:18

AI + Impact: Rachel's story of co-founding fast.ai

05:48

Deep Learning: More than a Fad