Machine Learning Training Programme (2021 - 2022)

This repo hosts the resources and materials used in MLDA''s Machine Learning Training Programme. Please click any of the folder above, or the links below, to navigate.

Semester 1

Week	Title	Topics	Link
3	Introduction to AI, ML, DS and Data Science I	Overview of ML. Working with Tabular data	link
4	Data Science II	ML algorithms for Tabular data	link
5	Neural Network	Overview of NN. MLP with PyTorch	link
6	Practical Data Science	Use git and conda. Typical DS project	link
7	Introduction to PyTorch	PyTorch concepts. General DL workflow	link
8	Vision I	Introduction to Vision tasks. Transfer Learning for Image classification	link
10	Vision II	Object detection and segmentation. Deep dive into CNN architecture	link

Semester 2

Week	Title	Topics	Link
3	Introduction to NLP	Overview of text data. Word vectors	link
4	NLP with Deep Learning	Some text models. Recurrent Neural Networks	link
5	Attention	Sequence-to-sequence models. Attention mechanism	link
6	Transformers	Structure of a transformer model. Some popular transformer models	link