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