- Mathematics for Deep Learning, Marc Deisenroth [Lecture Notes][Slides] [Video]
- African contributions to AI (Indaba opening), Adam Habib [Transcript][Video]
- Machine Learning Fundamentals, Willie Brink and Nyalleng Moorosi [Slides] [Video]
- Deep Learning Fundamentals, Yann Dauphin [Video]
- Convolutional Networks, Nando de Freitas [Slides] [Video]
- Recurrent Networks, Stephan Gouws and Richard Klein [Slides] [Video]
- Probabilistic Reasoning, Konstantina Palla [Slides][Video]
- Unsupervised Learning, Alta De Waal [Slides] [Video]
- Deep Generative Models, Ulrich Paquet [Slides] [Video]
- Introduction to Reinforcement Learning, Vukosi Marivate and Benjamin Rosman [Slides] [Video]
- Advanced Reinforcement Learning, George Konidaris [Slides] [Video]
- Machine Learning for Healthcare, Danielle Belgrave [Slides] [Video]
- Keynote on Advanced Topics, Anima Anandkumar [Slides] [Video]
- Discussion on African Machine Learning. Panelists: Bubacarr Bah (AIMS), Michelle Gervais (Standard Bank), Fulufhelo Nelwamondo (CSIR), Imraan Patel (DST).
