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

  • Mar 30 2021
  • Duración: 1 h y 38 m
  • Podcast

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

  • Resumen

  • 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

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