Summer School on Machine Learning and Data Science

Addis Ababa University

Sheffield University, Amazon, Google, Pulse Lab Kampala, the AI and Data Science (AIR) lab-Makerere University, Dedan Kimathi University of Technology (DeKUT), African University of Science and Technology (AUST),  University of Paris-Saclay and the Nelson Mandela African Institution of Science and Technology in Arusha (NM-AIST Arusha).

Mon, 3 Jun - Wed, 5 Jun 2019

In the tradition of previous Africa Data Science workshops, a summer school on machine learning and data science will be held prior to the main workshop. This summer school will target graduate students, researchers and professionals working with huge amounts of data or unique datasets.

The summer school will focus on introductory and advanced lectures in data science and machine learning as well as moderate to advanced practical and tutorial sessions where participants will get their hands wet wrangling and munging datasets and applying cutting edge machine learning techniques to derive inference from the data. Lectures will be given by distinguished world renown researchers and practitioners including researchers from Sheffield University, Amazon, ARM, Facebook, Google, Pulse Lab Kampala, the AI and Data Science (AIR) lab-Makerere University, and Dedan Kimathi University of Technology (DeKUT), African University of Science and Technology (AUST) among others.

The school will also involve end-to-end tutorial sessions from professionals walking the participants through a real data analytics problem from data acquisition to data presentation. To benefit from this course participants must have some background in programming particularly programming with Python and machine learning. The registration process will include submission of worked examples in Jupyter notebooks for a data science challenge

Registration here.  

The summer school organisers require that participants are well versed with the basics of the technologies and languages that will be used in the summer school. Particularly, they want to make sure participants have sufficient base skills in Python programming, Data science and Machine learning. To this end, there are two Pre-requisite Jupyter Notebooks to submit before registration.
Addis Ababa University
Addis Ababa
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