At the interface of AI, Science, and Health.

From Bioinformatics to AI: 24.1 Generative Models - Motivation and Overview
32:32
From Bioinformatics to AI: 24.1 Generative Models - Motivation and Overview
From Bioinformatics to AI: 23.3 Protein Language Models - Motivation and Early Effort (ESM1)
3:12
From Bioinformatics to AI: 23.3 Protein Language Models - Motivation and Early Effort (ESM1)
From Bioinformatics to AI: 23.2 Pretraining Language Models (Part 2)
20:40
From Bioinformatics to AI: 23.2 Pretraining Language Models (Part 2)
From Bioinformatics to AI: 23.1 Pretraining Language Models (Part 1)
24:30
From Bioinformatics to AI: 23.1 Pretraining Language Models (Part 1)
From Bioinformatics to AI: 22.3 Transformers (Part 2 & Summary)
24:18
From Bioinformatics to AI: 22.3 Transformers (Part 2 & Summary)
From Bioinformatics to AI: 22.3 Transformers (Part 1)
13:42
From Bioinformatics to AI: 22.3 Transformers (Part 1)
From Bioinformatics to AI: 22.2 Self Attention
19:35
From Bioinformatics to AI: 22.2 Self Attention
From Bioinformatics to AI: 22.1 General Attention Layers
17:01
From Bioinformatics to AI: 22.1 General Attention Layers
From Bioinformatics to AI: 21.2 Introducing Attention & Language Translation
21:24
From Bioinformatics to AI: 21.2 Introducing Attention & Language Translation
From Bioinformatics to AI: 21.1 Introducing Attention & Image Captioning
17:09
From Bioinformatics to AI: 21.1 Introducing Attention & Image Captioning
From Bioinformatics to AI: 20.4 RNN for Protein Structure Prediction
11:36
From Bioinformatics to AI: 20.4 RNN for Protein Structure Prediction
From Bioinformatics to AI: 20.3 Modern RNNs - LSTM & GRU
24:49
From Bioinformatics to AI: 20.3 Modern RNNs - LSTM & GRU
From Bioinformatics to AI: 20.2 The Exploding or Vanishing Gradient Problem
23:58
From Bioinformatics to AI: 20.2 The Exploding or Vanishing Gradient Problem
From Bioinformatics to AI: 20.1. Recurrent Neural Networks
25:59
From Bioinformatics to AI: 20.1. Recurrent Neural Networks
From Bioinformatics to AI: 20.0. CNN Recap
8:15
From Bioinformatics to AI: 20.0. CNN Recap
From Bioinformatics to AI: 19.2. Neural Network Computation - Optimization
31:02
From Bioinformatics to AI: 19.2. Neural Network Computation - Optimization
From Bioinformatics to AI: 19.1. Neural Network Computation - Model Class, Loss, and Regularization
33:36
From Bioinformatics to AI: 19.1. Neural Network Computation - Model Class, Loss, and Regularization
From Bioinformatics to AI: 18.3. Convolutional Neural Networks (CNNs): WHAT? + Case Study
32:58
From Bioinformatics to AI: 18.3. Convolutional Neural Networks (CNNs): WHAT? + Case Study
From Bioinformatics to AI: 18.2. Convolutional Neural Networks (CNNs): HOW?
34:32
From Bioinformatics to AI: 18.2. Convolutional Neural Networks (CNNs): HOW?
From Bioinformatics to AI: 18.1. Convolutional Neural Networks (CNNs): WHY?
17:10
From Bioinformatics to AI: 18.1. Convolutional Neural Networks (CNNs): WHY?
From Bioinformatics to AI: 17. First Take on (Artificial) Neural Networks
54:45
From Bioinformatics to AI: 17. First Take on (Artificial) Neural Networks
From Bioinformatics to AI: 16.2. AI in Healthcare / Drug Discovery (AI4Health & AI4Medicine)
25:31
From Bioinformatics to AI: 16.2. AI in Healthcare / Drug Discovery (AI4Health & AI4Medicine)
From Bioinformatics to AI: 16.1. Introduction to Artificial Intelligence (AI)
46:55
From Bioinformatics to AI: 16.1. Introduction to Artificial Intelligence (AI)
From Bioinformatics to AI: 15. Machine Learning in Practice - Diagnostics and Fixes
1:10:18
From Bioinformatics to AI: 15. Machine Learning in Practice - Diagnostics and Fixes
From Bioinformatics to AI: 14. Regression, Bias-Variance Tradeoff, and Regularization
1:03:26
From Bioinformatics to AI: 14. Regression, Bias-Variance Tradeoff, and Regularization
From Bioinformatics to AI: 13.2. Integrating Heterogeneous Data
41:19
From Bioinformatics to AI: 13.2. Integrating Heterogeneous Data
From Bioinformatics to AI: 13.1. Evaluating Classifiers
28:07
From Bioinformatics to AI: 13.1. Evaluating Classifiers
From Bioinformatics to AI: 12. Shallow Machine Learning - Support Vector Machine (SVM)
29:44
From Bioinformatics to AI: 12. Shallow Machine Learning - Support Vector Machine (SVM)
From Bioinformatics to AI: 11.2. Introduction to Machine Learning
32:41
From Bioinformatics to AI: 11.2. Introduction to Machine Learning
From Bioinformatics to AI: 11.1. Protein Function Prediction
22:33
From Bioinformatics to AI: 11.1. Protein Function Prediction