In this podcast episode, we talked with Alexander Guschin about launching a career off Kaggle.
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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