Lecture 2 of 26Week 1
The AI Continuum I: Rules to Statistics
Prof. Balaji Srinivasan and Prof. Ganapathy Krishnamurthi · IIT Madras
Credits and licence
- From
- AI for Clinicians, IIT Madras (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- Teens profiles and older. How courses are placed
All the lectures
- What Is AI? An overview
- The AI Continuum I: Rules to Statistics
- The AI Continuum II: Machine Learning to Foundation Models
- What Does the Model See? Encodings and representations
- Mathematical Functions and Learning from Data
- Regression, Classification, and Types of Learning
- Generalisation: Learning Beyond the Training Data
- Neural Networks as Flexible Learned Functtions
- Learning Features and Representations
- Convolutional Neural Networks for Medical Images
- Medical Image Tasks: Classification, Detection, Segmentation and Regression
- Modeling Sequences with RNNs
- Tokens and Embeddings
- The Attention Mechanism: Deciding What Context Matters
- The Transformer Architecture and Large Language Models
- Basics of Medical image processing
- Basics of Clinical Text processing
- Clinical AI Evaluations I
- Clinical AI Evaluations II
- Generative models in Clinical workflow
- Medical Agent workflow
- Clinical AI Agents
- Foundation Models - 1
- Foundation Models - 2
- Foundation Models - 3
- Foundation Models - 4