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	Podcast:		DataTalks.Club
	Episode:		Competitive Machine Leaning And Teaching – Alexander Guschin
	Category:		Technology
	Duration:		00:53:27
	Publish Date:		2025-02-14 18:00:00
	Description:		In this podcast episode, we talked with Alexander Guschin about launching a career off Kaggle. About the Speaker: Alexander Guschin is a Machine Learning Engineer with 10+ years of experience, a Kaggle Grandmaster ranked 5th globally, and a teacher to 100K+ students. He leads DS and SE teams and contributes to open-source ML tools. 00:00 Starting with Machine Learning: Challenges and Early Steps 13:05 Community and Learning Through Kaggle Sessions 17:10 Broadening Skills Through Kaggle Participation 18:54 Early Competitions and Lessons Learned 21:10 Transitioning to Simpler Solutions Over Time 23:51 Benefits of Kaggle for Starting a Career in Machine Learning 29:08 Teamwork vs. Solo Participation in Competitions 31:14 Schoolchildren in AI Competitions42:33 Transition to Industry and MLOps50:13 Encouraging teamwork in student projects50:48 Designing competitive machine learning tasks52:22 Leaderboard types for tracking performance53:44 Managing small-scale university classes54:17 Experience with Coursera and online teaching59:40 Convincing managers about Kaggle's value61:38 Secrets of Kaggle competition success63:11 Generative AI's impact on competitive ML65:13 Evolution of automated ML solutions66:22 Reflecting on competitive data science experience
	Total Play:		0