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.
📲 Radek Osmulski Socials:
LinkedIn: https://www.linkedin.com/in/radek-osmulski-6b935794/?originalSubdomain=au
Twitter: https://twitter.com/radekosmulski?lang=en
📲 Mark Moyou, PhD Socials:
LinkedIn: https://www.linkedin.com/in/markmoyou/
Twitter: https://twitter.com/MarkMoyou
📗 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