We are proud to have these machine learning scientists to teach and share their experiences at the Indaba.
Alta de Waal
Senior Lecturer, University of Pretoria
Unsupervised Learning
Anima Anandkumar
Principal Scientist, Amazon Web Services
KEYNOTE : Large-scale Machine Learning: Deep, Distributed and Multi-Dimensional
Benjamin Rosman
Researcher, Council for Scientific and Industrial Research
Reinforcement Learning
Bubacarr Bah
Research Chair, African Institute for Mathematical Sciences
Panel on African Machine Learning
Danielle Belgrave
Researcher, Microsoft Research Cambridge; Research Fellow Imperial College London
Machine Learning in Healthcare
Fulufhelo Nelwamondo
Executive Director, CSIR Modelling and Digital Science Unit
George Konidaris
Assistant Professor, Brown University
Advanced Reinforcement learning
Konstantina Palla
Researcher in the Healthcare ML Division at Microsoft Research Cambridge
Probabilistic reasoning
Marc Deisenroth
Imperial College
Mathematics for Machine Learning
Nando De Freitas
Principal Scientist and Team Lead, DeepMind; and Deep Learning Indaba advisory board member
Convolutional Neural Networks
Nyalleng Moorosi
Researcher at Google AI, Ghana
Fundamentals of Machine learning
Richard Klein
Associate Lecturer, University of the Witwatersrand
Recurrent Neural Networks
Stephan Gouws
Research Scientist, Google, Brain Team, London
Recurrent Neural Networks
Ulrich Paquet
Research Scientist, DeepMind, London
Deep Generative Models
Vukosi Marivate
Chair of Data Science, University of Pretoria; CSIR; and Deep Learning Indaba
Reinforcement Learning
Willie Brink
Senior Lecturer, Stellenbosch University
Fundamentals of Machine Learning
Yann Dauphin
Research Scientist, Facebook AI Research
Fundamentals of Deep Learning
Imraan Patel
Deputy Director General, South African Department of Science and Technology
Adam Habib
Vice Chancellor and Principal University of the Witwatersrand
Michelle Gervais
Head of Data Science Standard Bank Group
