
Deep Learning Indaba, Stellenbosch University, 9-15 September 2018
Deep Learning Indaba, Stellenbosch University, 9-15 September 2018
Strengthening African Machine Learning
Deep Learning Indaba Sponsorship Stellenbosch, South Africa: 10-15 September 2018.
The Deep Learning Indaba exists to celebrate and strengthen machine learning in Africa through state-of-the-art teaching, networking, policy debate, and through our support programmes, such as the IndabaX and the Kambule and Maathai awards. We work towards the vision of Africans becoming critical contributors, owners, and shapers of the coming advances in artificial intelligence and machine learning. We need visionary partners to help realise this vision; we need your help! In 2018 we increase our commitment to African machine learning with an ambitious programme that will almost double our participation and significantly
Website: http://www.deeplearningindaba.com/
Application (opening in March 2018): http://www.deeplearningindaba.com/apply.html
Sponsorship: http://www.deeplearningindaba.com/uploads/1/0/2/6/102657286/deep_learning_indaba_sponsorship_request.pdf
You can apply either as a student or as a general attendee.
- Students should be 4th-year/honours, MSc, PhD, or postdoc level.
- General attendees include academics, research scientists at startups or industry, and engineers in data science fields.
You should apply if you have:
- An active interest in machine learning, artificial intelligence, statistics, data science, or related computational sciences (e.g., statistical physics, computational neuroscience, computational social science, etc).
- Basic programming experience in Python or Matlab (if you’ve completed an undergrad assignment that involved coding, you should be fine!).
- Basic (undergraduate) knowledge of calculus, linear algebra, probability theory and statistics. See the description of background topics for pointers and further details.
Call for Nominations
Awarding African Excellence in Research and Innovation in Machine Learning and Artificial Intelligence
