Adventures in Machine Learning

Un podcast de Charles M Wood - Les jeudis

Les jeudis

Catégories:

183 Épisodes

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

    Publié: 16/09/2021
  2. AI Assisted Development ft. Sydney Lai - ML 044

    Publié: 02/09/2021
  3. Data + ML: What Could Go Wrong? ft. Sandeep Uttamchandani - ML 043

    Publié: 26/08/2021
  4. From Software Engineer to Data Engineer ft. Alexey Grigorev - ML 042

    Publié: 19/08/2021
  5. Writing Production Code for ML ft. Ken Youens-Clark - ML 041

    Publié: 12/08/2021
  6. Machine Learning for Tabular Data in Practice ft. Mark Ryan - ML 040

    Publié: 05/08/2021
  7. Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039

    Publié: 29/07/2021
  8. Mentorship in Machine Learning - ML 038

    Publié: 22/07/2021
  9. Productionized Machine Learning Engineers featuring Laszlo Sragner - ML 037

    Publié: 13/07/2021
  10. Data Pipelines with Metaflow featuring Ville Tuulos - ML 036

    Publié: 08/07/2021
  11. Machine Learning: More than Just an Algorithm - ML 035

    Publié: 01/07/2021
  12. How to Get Started in Machine Learning - ML 034

    Publié: 24/06/2021
  13. Scaling video processing with Deep Learning - ML 033

    Publié: 17/06/2021
  14. The 3 Essentials for Successful Job Outcomes - BONUS

    Publié: 04/06/2021
  15. The 3 Essentials for Successful Job Outcomes - BONUS

    Publié: 03/06/2021
  16. How to Get Hired at a FANG Company - BONUS

    Publié: 28/05/2021
  17. Parallelizing Model Training with Michael Galarnyk - ML 032

    Publié: 27/05/2021
  18. The Best Machine Learning Frameworks and Tensorflow Extensions with Derrick Mwiti - ML 031

    Publié: 20/05/2021
  19. Automated Machine Learning with Qingquan Song - ML 030

    Publié: 13/05/2021
  20. Becoming the Go-To Person in Your Technology Area - BONUS

    Publié: 07/05/2021

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.

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