/ml-training-programme-2021-22

Machine Learning Training Programme for MLDA Academics Team, Academic Year 2021 - 2022

Primary LanguageJupyter Notebook

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