Machine Learning Street Talk (MLST) cover image

Kaggle, ML Community / Engineering (Sanyam Bhutani)

Machine Learning Street Talk (MLST)

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Navigating Education in Machine Learning

This chapter explores the debate between formal and informal education in machine learning, weighing the value of university degrees against online learning and community engagement. Featuring a special guest, the dialogue covers various topics including Kaggle community insights, the impact of content creators, and the evolving landscape of data science education. The hosts reflect on their own journeys, emphasizing the importance of curiosity, persistence, and the role of self-directed learning in mastering complex concepts.

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