Adventures in Machine Learning

A podcast by Charles M Wood - Thursdays

Thursdays

Categories:

183 Episodes

  1. Multi-modal AI and Machine Teaching ft. Slater Victoroff - ML 045

    Published: 9/16/2021
  2. AI Assisted Development ft. Sydney Lai - ML 044

    Published: 9/2/2021
  3. Data + ML: What Could Go Wrong? ft. Sandeep Uttamchandani - ML 043

    Published: 8/26/2021
  4. From Software Engineer to Data Engineer ft. Alexey Grigorev - ML 042

    Published: 8/19/2021
  5. Writing Production Code for ML ft. Ken Youens-Clark - ML 041

    Published: 8/12/2021
  6. Machine Learning for Tabular Data in Practice ft. Mark Ryan - ML 040

    Published: 8/5/2021
  7. Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039

    Published: 7/29/2021
  8. Mentorship in Machine Learning - ML 038

    Published: 7/22/2021
  9. Productionized Machine Learning Engineers featuring Laszlo Sragner - ML 037

    Published: 7/13/2021
  10. Data Pipelines with Metaflow featuring Ville Tuulos - ML 036

    Published: 7/8/2021
  11. Machine Learning: More than Just an Algorithm - ML 035

    Published: 7/1/2021
  12. How to Get Started in Machine Learning - ML 034

    Published: 6/24/2021
  13. Scaling video processing with Deep Learning - ML 033

    Published: 6/17/2021
  14. The 3 Essentials for Successful Job Outcomes - BONUS

    Published: 6/4/2021
  15. The 3 Essentials for Successful Job Outcomes - BONUS

    Published: 6/3/2021
  16. How to Get Hired at a FANG Company - BONUS

    Published: 5/28/2021
  17. Parallelizing Model Training with Michael Galarnyk - ML 032

    Published: 5/27/2021
  18. The Best Machine Learning Frameworks and Tensorflow Extensions with Derrick Mwiti - ML 031

    Published: 5/20/2021
  19. Automated Machine Learning with Qingquan Song - ML 030

    Published: 5/13/2021
  20. Becoming the Go-To Person in Your Technology Area - BONUS

    Published: 5/7/2021

7 / 10

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.