Source: Deep Learning on Medium
Wednesday 17th April 2019 will always have exciting memories for me as it is the day I got to attend my first Deep Learning Indaba X.
Why did it get me so excited? Well I got to see how far we have come as a country in Tech and I can see that the future is bright for us .
From the speakers who spoke and the projects demonstrated it is clear that Zambia has got what it takes to be a force to recon with internationally when it comes to Artificial Intelligence (AI) .
But what is a Machine Learning Indaba-X? A Machine Learning Indaba X is a locally-organised, one-day Indaba that helps spread knowledge and builds capacity in machine learning
So who go to speak at this years Indaba?
We had Mr. Milner Makuni share some of the projects under “Smart Zambia” ,he also encouraged the participants to make good use of such platforms and use the knowledge gained to make Zambia a better place.
Mr. Makuni was also pleased with the increased female turn out,though personally I hope to see even more females attend such events.
Then we also got to hear from Yasin Musa Ayami who shared his dream and vision for the Indaba and AI generally as it relates to Zambia.I must say his passion is contagious and we need more people like him in Zambia.
Some of the projects lined up for this year are:
- Hosting the Indaba -X Zambia,which was awesome.
- Host a Hackathon in partnership with Family Development Initiatives (FDI)/TsogoloTech development partners.
- Have an AI Summer School.
- Start Tech hubs in compounds.
- Start a digital product school for recent graduates.
- Have Saturday classes.
- Provide access to learning material through partnerships with institution such as Tokyo Data Science School.
If you would like to be a part of any of these programs or need more information please feel free to get in touch here:
Deep Learning Indaba X -Zambia. 229 likes. A Machine Learning Indaba X is a locally-organised, one-day Indaba that…www.facebook.com
Cynthia Mulenga took the group through a Revision of Basic Maths and Hands on Python Tutorial .
Cynthia Mulenga is a Consult Lead At BongoHive, Mentor at Asikana Network, Co-Lead Facebook Developer Circle, Data Science, and AI Enthusiast, CodeCastZM Podcast Co-Host. She was also among the speakers at last years main Deep Learning Indaba at the Stellenbosch University in Cape Town, South.
Emmanuel Lwele gave an Introduction to Machine Learning both Theory and Practical.
is an ICT Lecture at ZCAS & NIPA. He Completed Bsc in Computer Science and Computer engineering 2015 and MSc Science and Computer engineering-(software development- models, methods and software for project solution analysis ) 2017 at Tambov State Technical University,( Russia)
Research areas include Optimization, Embedded systems, software development, Machine Learning and its application to finance & control systems design m . PhD candidate at Beijing University of Technology(China) Research focus -Pattern recognition and intelligent system (focus on artificial intelligence, machine learning, robot and autonomous system)
Last but not the least of the speakers was Francis Chikweto who gave an introduction to Deep Learning with TensorFlow both Theory and Practical.
This was not all Francis also show cased some of his projects:
- Smart Home-a smart system for the home that can be controlled using a smart phone.For example one can switch on the lights and other electric appliances just by using their phone.
- A portable patient monitor interfaced to a smart phone of a doctor or nurse.
- Blind aid device system that warns the blinds when they are approaching the doors of public buildings .The system also sounds an alarm to warn the blind person
Look out for an article with more information on this.
Francis Chikweto is a Lecturer at Evelyn Hone college -Biomedical Engineering section. He completed his BSc in Biomedical engineering 2015 and MSc Biomedical engineering -(medical-biological devices, systems, and complexes) 2017 at Tambov State Technical University,( Russia)
Research areas include biomedical signal processing and control systems design for medical welfare engineering. Ph.D. candidate at Tohoku University (Japan) Research focus -Sensor fusion and Machine Learning (DL) for biomechatronics and control systems in neonatal healthcare technology.
All in all it was a very exciting Indaba very enlightening and educative .Look forward to more events such as this one.