Competitive Machine Leaning And Teaching – Alexander Guschin

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.0:00 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🔗 CONNECT WITH ALEXANDER GUSCHINLinkedin - https://www.linkedin.com/in/1aguschin/Website - https://www.aguschin.com/🔗 CONNECT WITH DataTalksClubJoin DataTalks.Club:⁠⁠⁠⁠https://datatalks.club/slack.html⁠⁠⁠⁠Our events:⁠⁠⁠⁠https://datatalks.club/events.html⁠⁠⁠⁠Datalike Substack -⁠⁠⁠⁠https://datalike.substack.com/⁠⁠⁠⁠LinkedIn:⁠⁠⁠⁠  / datatalks-club  ⁠