Applied Machine Learning

Year 2 Term 1, Msc. Data Science at Birkbeck, University of London, 10/2019

Overview

1. Data preparation
2. Feature selection and resampling
3. Decision Tree and Random Forest
4. Logistic Regression and Nearest Neighbors
5. TensorFlow and Keras
6. Image processing
7. RNN and sequential data
8. Real life applications

Course format

• 1.5 hours of in-person lecture + 1.5 hours of lab per week
• Scoring: written exam 70% + group project 30%

Further Readings

1. Understanding LSTM
2. The Unreasonable Effectiveness of Recurrent Neural Networks
3. Neural Networks & The Backpropagation Algorithm
4. Things to note: tanh, sigmoid, relu functions