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Competitive Machine Leaning And Teaching – Alexander Guschin
Manage episode 466689608 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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 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/
🔗 CONNECT WITH DataTalksClub
Join DataTalks.Club:https://datatalks.club/slack.html
Our events:https://datatalks.club/events.html
Datalike Substack -https://datalike.substack.com/
LinkedIn: / datatalks-club
184 episodes
Share
Manage episode 466689608 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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 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/
🔗 CONNECT WITH DataTalksClub
Join DataTalks.Club:https://datatalks.club/slack.html
Our events:https://datatalks.club/events.html
Datalike Substack -https://datalike.substack.com/
LinkedIn: / datatalks-club
184 episodes
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Similar to DataTalks.Club
Africa-focused technology, digital and innovation ecosystem insight and commentary.
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