Competitive Machine Leaning And Teaching – Alexander Guschin

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 Competitions

42:33 Transition to Industry and MLOps

50:13 Encouraging teamwork in student projects

50:48 Designing competitive machine learning tasks

52:22 Leaderboard types for tracking performance

53:44 Managing small-scale university classes

54:17 Experience with Coursera and online teaching

59:40 Convincing managers about Kaggle's value

61:38 Secrets of Kaggle competition success

63:11 Generative AI's impact on competitive ML

65:13 Evolution of automated ML solutions

66:22 Reflecting on competitive data science experience

🔗 CONNECT WITH ALEXANDER GUSCHINLinkedin - https://www.linkedin.com/in/1aguschin/Website - https://www.aguschin.com/

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