The African Data Scientist

Welcome to another episode of "Insights in AI and Data Science" program where we get to get to learn from practitioners, researchers, enthusiasts nationally and internationally and know the thoughts on Artificial Intelligence, Data Science, and the potentials of these technologies for the African continent.

This particular episode features Jeremiah Fadugba. He is a Teaching Assistant at the African Masters in Machine Intelligence and in this episode, he discusses his career journey, troubles he faced and how he overcame them, how Africa can leverage AI and Data Science for growth, and his advice for those searching for data science and AI jobs in Africa.

> Learn from Jeremiah's session on why classification algorithms work, and a teaser into deep learning here.

> Jeremiah's Twitter: https://www.twitter.com/jerofad

LINKS MENTIONED IN THE EPISODE:

What Jeremiah is excited about for the future of AI:

> self-supervised learning article from fast.ai here.

> Great answer on the difference between supervised learning, unsupervised learning, and self-supervised learning.

> More on self-supervised learning here.

> Learn about multimodal learning in this accessible article.

> www.paperswithcode.com

> Transcript and blog post for reading is not available for this episode yet. You can check back later.

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> Some Previous of "Insights in AI and Data Science" Episodes You May Like:

Episode 4 -  Sayak Paul, Google Developer Expert (GDE) in Machine Learning.

Episode 5 - with Aurélien Géron, Former YouTube Product Manager.

Episode 6 -  with Emmanuel Okorie, Data Scientist at Maon Technology, and Formerly at Carbon (PayLater).

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