Recent Sessions
- Machine learning in healthcare (Aug 2021)
- Machine Learning basics (Jun 2021)
- Elements of machine learning (May 2021)
- Data science with Python (Dec 2020 and Apr 2021)
- Statistics and machine learning (2021)
- Introduction to AI and Machine learning (Mar 2021)
- Introduction to Data analytics (Feb 2021)
- Mathematical Foundations of Language models (Mar 2021)
- Python for data science (Aug 2019, Sep 2020 and Aug 2021)
Previous sessions
- Introduction to data science, AI and machine learning
- Programming for data science
- Computational thinking
- Exploratory data analysis and statistical thinking
- Introduction to deep learning
- Visualization
- Introduction to NLP
In the pipeline
- Statistical inferential thinking
- Neural networks from foundations
- Mathematics of deep learning
- Introduction to reinforcement learning
- Implementing language models
- Introduction to Causal inferencing
- Drawing your assumptions - causal diagrams
- Software engineering principles in AI programming
- Interpretable and explainable AI
- Generative Adversarial Networks
- Mathematical theory of GANs
- Graph neural networks
- Variational inferencing
- Statistical learning
- Bayesian deep learning
- Bias and fairness in AI