
A Practical Approach to Learning Machine Learning with Radek Osmulski (Earth Species Project)
Episode · 18 Plays
Episode · 18 Plays · 1:38:02 · Mar 30, 2021
About
Radek Osmulski is a fully self-taught machine learning engineer. After getting tired of his corporate job, he taught himself programming and started a new career as a Ruby on Rails developer. He then set out to learn machine learning. Since then, he's been a Fast AI International Fellow, become a Kaggle Master, and is now an AI Data Engineer on the Earth Species Project.Learn more about Radek:https://www.radekosmulski.comhttps://twitter.com/radekosmulskiEvery Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://cyou.ai/newsletterFollow Charlie on Twitter: https://twitter.com/CharlieYouAISubscribe to ML Engineered: https://mlengineered.com/listenComments? Questions? Submit them here: http://bit.ly/mle-surveyTake the Giving What We Can Pledge: https://www.givingwhatwecan.org/Timestamps:02:15 How Radek got interested in programming and computer science09:00 How Radek taught himself machine learning26:40 The skills Radek learned from Fast AI39:20 Radek's recommendations for people learning ML now51:30 Why Radek is writing a book01:01:20 Radek's work at the Earth Species Project01:10:15 How the ESP collects animal language data01:21:05 Rapid fire questionsLinks:Radek's Book "Meta-Learning"Andrew Ng ML CourseraFast AIUniversal Language Model Fine-tuning for Text ClassificationHow to do Machine Learning EfficientlyNPR - Two Heartbeats a MinuteEarth Species ProjectA Guide to the Good LifeThe Origin of WealthMake TimeYou Are Here
1h 38m 2s · Mar 30, 2021
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