We tell the story of African data science and artificial intelligence (AI) potential. We feature interviews from experts within and outside Africa. We have discussions on topics related to data science, machine learning, statistics, artificial intelligence, all from a perspective of understanding th… read more
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.
Our guest today is Vangelis Oden who is a Data and Machine Intelligence Engineer at Indicina technology, a Fintech startup that provides smart services for their clients. Vangelis shared insights about his life, education, career, qualities of a competent Machine Learning Engineer and Data scientist, challenges he has faced and how he overcame them.
We were able to gain a lot of useful insights from him. This interview has lots of useful tips and best practices that can go a long way for you as you build your career in Data Science and Machine Learning.
What You Will Learn From This Episode?
> How Vangelis started a career and the challenges he faced, including how he overcame them.
> How to develop your Data Science job-search and interview-preparation strategies.
> How small businesses can effectively come up with good data and AI strategy to work with, and why they shouldn't consider AI technology first.
> Qualities you should have to be a very good Data Scientist or Machine Learning Engineer.
> Why you should get started learning Data Science and AI now.
> How Machine Learning can improve sectors in African countries and what to take advantage of in the process.
> If you prefer to read this episode as a blog post, you can find it here (transcript included).
LINKS MENTIONED IN THE EPISODE:
What Vangelis is excited about for the future of AI:
Evolutionary Machine Learning: A great article to get you started with evolutionary machine learning here.
Generative Adversarial Networks: Ian Goodfellow is the creator of generative adversarial networks. You can learn how he came about it here.
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Some Previous Episodes 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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Till next time. Take care, and be safe. 💚💚
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