A Practical Approach to Learning Machine Learning with Radek Osmulski (Earth Species Project)

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.com https://twitter.com/radekosmulski Every 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/newsletter Follow Charlie on Twitter: https://twitter.com/CharlieYouAI Subscribe to ML Engineered: https://mlengineered.com/listen Comments? Questions? Submit them here: http://bit.ly/mle-survey Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/ Timestamps: 02:15 How Radek got interested in programming and computer science 09:00 How Radek taught himself machine learning 26:40 The skills Radek learned from Fast AI 39:20 Radek's recommendations for people learning ML now 51:30 Why Radek is writing a book 01:01:20 Radek's work at the Earth Species Project 01:10:15 How the ESP collects animal language data 01:21:05 Rapid fire questions Links: Radek's Book "Meta-Learning" Andrew Ng ML Coursera Fast AI Universal Language Model Fine-tuning for Text Classification How to do Machine Learning Efficiently NPR - Two Heartbeats a Minute Earth Species Project A Guide to the Good Life The Origin of Wealth Make Time You Are Here