Adventures in Machine Learning

Un pódcast de Charles M Wood - Jueves

Jueves

Categorías:

209 Episodo

  1. Testing Your MLOps - ML 051

    Publicado: 28/10/2021
  2. Deploying Your Machine Learning Models with FastAPI ft. Ahmad Mustafa Anis - ML 050

    Publicado: 21/10/2021
  3. Monitoring and Evaluating Data Sets ft. Emeli Dral and Elena Samuylova - ML 049

    Publicado: 14/10/2021
  4. The MLOps Community with Demetrios Brinkmann - ML048

    Publicado: 7/10/2021
  5. How to Build and Organize Production ML Solutions ft. Conor Murphy - ML 047

    Publicado: 30/9/2021
  6. Using AI to Make the LifeCycle of Software Development Easier ft. Antonio Alegria - ML 046

    Publicado: 22/9/2021
  7. Multi-modal AI and Machine Teaching ft. Slater Victoroff - ML 045

    Publicado: 16/9/2021
  8. AI Assisted Development ft. Sydney Lai - ML 044

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

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

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

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

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

    Publicado: 29/7/2021
  14. Mentorship in Machine Learning - ML 038

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

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

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

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

    Publicado: 24/6/2021
  19. Scaling video processing with Deep Learning - ML 033

    Publicado: 17/6/2021
  20. The 3 Essentials for Successful Job Outcomes - BONUS

    Publicado: 4/6/2021

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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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