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Radek Osmulski: Kaggle Grandmaster, Meta Learning, Career Growth & Coding - AI Portfolio Podcast

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Manage episode 437345388 series 3596668
Content provided by Mark Moyou, PhD and Mark Moyou. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Moyou, PhD and Mark Moyou 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://staging.podcastplayer.com/legal.

Radek Osmulski, a Senior Data Scientist specializing in Recommender Systems at NVIDIA, brings a wealth of experience to the table. With a foundation laid by Fast.ai's Deep Learning course, Radek has honed his skills through extensive project work, emerging as a champion in Kaggle competitions. Radek sheds light on his role at NVIDIA, sharing valuable insights gained from his time there and delving into topics like meta-learning and the path to mastery in machine learning.
πŸ“² Radek Osmulski Socials:
LinkedIn: https://www.linkedin.com/in/radek-osmulski-6b935794/?originalSubdomain=au
Twitter: https://twitter.com/radekosmulski?lang=en
πŸ“² Mark Moyou, PhD Socials:
LinkedIn: https://www.linkedin.com/in/markmoyou/
Twitter: https://twitter.com/MarkMoyou
πŸ“— Chapters
0:00:00 Opening
0:01:45 NVIDIA
0:04:37 Kaggle Competitions
0:11:11 Fast AI Course
0:15:12 Learning AI
0:17:06 NVIDIA Job Title
0:18:40 Learning's at NVIDIA
0:21:47 Meta Learning
0:28:13 Becoming Great at ML
0:30:36 Building Career Outside US
0:33:56 Hustling
0:38:19 Code Cleaning Practices
0:41:58 Programming Skills
0:48:50 Learning with LLM
0:51:51 Product Mindset for Learning
0:54:10 Tweeting Advice
1:01:02 Radek's Career Optimization Function
1:06:36 Advice for Writers
1:21:36 Outside Work Interests
1:23:53 Book Recommendations
1:27:56 Advice for High School, College Student and Working Professional
1:29:36 Rapid Round

  continue reading

22 episodes

Artwork
iconShare
 
Manage episode 437345388 series 3596668
Content provided by Mark Moyou, PhD and Mark Moyou. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Moyou, PhD and Mark Moyou 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://staging.podcastplayer.com/legal.

Radek Osmulski, a Senior Data Scientist specializing in Recommender Systems at NVIDIA, brings a wealth of experience to the table. With a foundation laid by Fast.ai's Deep Learning course, Radek has honed his skills through extensive project work, emerging as a champion in Kaggle competitions. Radek sheds light on his role at NVIDIA, sharing valuable insights gained from his time there and delving into topics like meta-learning and the path to mastery in machine learning.
πŸ“² Radek Osmulski Socials:
LinkedIn: https://www.linkedin.com/in/radek-osmulski-6b935794/?originalSubdomain=au
Twitter: https://twitter.com/radekosmulski?lang=en
πŸ“² Mark Moyou, PhD Socials:
LinkedIn: https://www.linkedin.com/in/markmoyou/
Twitter: https://twitter.com/MarkMoyou
πŸ“— Chapters
0:00:00 Opening
0:01:45 NVIDIA
0:04:37 Kaggle Competitions
0:11:11 Fast AI Course
0:15:12 Learning AI
0:17:06 NVIDIA Job Title
0:18:40 Learning's at NVIDIA
0:21:47 Meta Learning
0:28:13 Becoming Great at ML
0:30:36 Building Career Outside US
0:33:56 Hustling
0:38:19 Code Cleaning Practices
0:41:58 Programming Skills
0:48:50 Learning with LLM
0:51:51 Product Mindset for Learning
0:54:10 Tweeting Advice
1:01:02 Radek's Career Optimization Function
1:06:36 Advice for Writers
1:21:36 Outside Work Interests
1:23:53 Book Recommendations
1:27:56 Advice for High School, College Student and Working Professional
1:29:36 Rapid Round

  continue reading

22 episodes

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