Some Course Slides

Deep Learning

1. Introduction
2. Ensembles, Boosting and Bagging
3. Data, Loss, Cost and Optimization
4. Neural Networks
5. Convolutional Neural Networks
6. Regularisation
7. Optimisation
8. Sequential Neural Networks
9. Multivariate Forecasting
10. Empirical Risk Minimisation
11. Similarity Learning
12. Unsupervised Learning
13. Generative Learning and Density Estimation

Artificial Intelligence Strategy

1. The Data Driven Enterprise
2. AI Strategy and Organisational Maturity
3. Agile AI Strategy Formulation
4. Data Driven (ML) Decision Making
5. ML Development Life Cycle
6. The Data Science Team
7. ML: Predictive Analysis for Business Decisions