Machine Learning Research: From Industry to Academia with Ridwan Amure
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Machine Learning Research: From Industry to Academia with Ridwan Amure
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In this episode of "Data Across Borders," we share the fascinating journey of a data professional who has successfully navigated both industry and academia. Our guest started his career as a Data Scientist, gaining invaluable experience across various roles and organizations. Today, he is a PhD candidate at the University of Little Rock, where he focuses on using Mathematical Modelling, Graph Theory, Machine Learning, and Natural Language Processing to identify deviant socio-technical behavior on social media.
In this episode, we explore:
- The transition from industry roles to academic research.
- Insights into the research on Deviant Social Technical Behaviors on Social Media
- Practical applications and societal implications of this research.
This episode offers a unique perspective on the synergy between professional practice and academic innovation. Whether you're an industry veteran, a budding data scientist, or simply fascinated by the ever-evolving world of data, this conversation is packed with insights and inspiration. Tune in to discover how Ridwan is making waves in the world of machine learning and beyond.
Connect with Ridwan:
LinkedIn: Ridwan Amure
Connect with us:
Follow the Podcast on Twitter: @data_xperience
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