IndabaX Malawi

30th May - 1st June 2019

ML in Malawi

Our representatives to Deep Learning Indaba Kenya Sam Masikini 4th Year BIT, Brenald Dzonzi 4th Year Engineering and Thanda Mtegha 5th Year Engineering at the Polytechnic pictured with their lecturer Dr. Amelia Taylor before getting ready to pack up for Kenya!

We are hosting a Machine Learning Event endorsed and supported by Deep Learning Indaba, Africa.


NOTIFICATION EMAILS TO PARTICIPANTS WERE SENT TODAY! Please check you mail (also the spam folder just in case!). You must reply with confirmation of attendance by the end of the week Sunday 26th May so that if you cannot make it we can offer your place to someone else.

Please note that the Panel Discussion is open to non-participants. It will take place in the Auditorium Friday at 3pm. All those interested are welcome. However all lecturers and labs and demos are for the enrolled participants to ensure.

The IndabaX Malawi 2019 is an event aiming of bringing together students and young lecturers who are interested in Machine Learning. This event is part of a larger initiative in strengthening machine learning in Africa. Through this event Malawi becomes one of 27 African countries within Deep Learning Indaba. We hope that people attending this event will form partnerships and strengthen their own skills in python and machine learning.

“There is a sunrise and a sunset every single day, and they are absolutely free. Do not miss so many of them.”

Location: The Polytechnic, Blantyre

Important Dates

Enrollment Opens:                                  15th April 2019

Enrollment Deadline:                            15th May 2019

Notification of Acceptance:                 by 20th May 2019

COMPETITION OPENS 30th May: Task announced and Enrollment for Competition Opened

Event Dates: 30th MAY – 1st JUNE 2019

Due to the delay in the opening of the new Academic year on the 29th April 2019 we have moved the date of this event.

What will you learn?

Python: Learn to code big ideas with little code. We will cover the basics and special libraries that one must know for Data Science and Machine Learning.

Machine Learning: Gain a good foundational knowledge on the mathematics and the algorithms for machine learning and build up your skills with a mix of lectures and hands-on coding sessions.

Computer Vision: Get a practical introduction to computer vision.

Who should attend?

Students interested in Machine Learning and Data Science. Lecturers who are teaching courses in artificial intelligence, are currently researching in this area or are keen to learn more about this area. If you are working in the industry and are interested in this area you may also apply.


Read our Call for Sponsorship


We have about 40 – 50 places free. This does not cover accommodation and travel. It refers only to the cost of the event.
If sponsorship allows we may increase this number. However we will need to be mindful of the logistics (tutorials, labs and catering) so we will have to keep the number manageable. So we might ask non-free participants for a small fee.

We would consider more favorably those applicants who submit research posters. For any questions please email us at



COMPETITION OPENS 30th May: Task announced and Enrollment for Competition Opened

Day 1: 30th MAY

08:00     Participants Welcome and Event Information

08:30     Opening Address by Dean of Applied Sciences

09:00     Lecture 1 Introduction to Data Science – Mtisunge Malemia

10:00     Coffee Break

10:30     Lab 1 Building Foundational Python Skills for Machine Learning (Basic Python ~ Pandas ~ Matplotlib)

12:00     Lunch Break

13:00    Lecture 2 Statistics for Machine Learning – Marc Henrion

14:10    Lecture/Lab 3: Practical Introduction to Machine Learning (Classification and Clustering) – Amelia Taylor

15:30 Demos and Networking

Day 2: 31st MAY

08:30     Lecture 4 Machine Learning with Tensorflow – Steve Perete

09:30     Coffee Break

10:00     Lab 3: Sklearn and Neural Networks

12:00     Lunch Break

13:30   TALKS ( 30 min each)
Francois Denner: Industrialisation through advanced digital technology, an opportunity for Africa
Prof. Mfutso-Bengo: Ethics in AI
Muthi Nthema
Data for Decision-making: A pipe dream?

15:00  Panel Discussion: “Data Science in Malawi: insights from practitioners” with Guests ( MLW, Rice360, Polytechnic, College of Medicine, Baobab Health Trust, Baseflow)

Day 3: 1st JUNE

08:00    Competition
Parallel: Poster/ Demo Session

12:00    Snacks

13:00 Competition Winners Announced and Closing


Cover Photo Cover Photo: Sunrise over Mulanje Mountain

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