49 Episodes

  1. MLG 036 Autoencoders

    Published: 30/05/2025
  2. MLG 035 Large Language Models 2

    Published: 08/05/2025
  3. MLG 034 Large Language Models 1

    Published: 07/05/2025
  4. MLA 024 Code AI MCP Servers, ML Engineering

    Published: 13/04/2025
  5. MLA 023 Code AI Models & Modes

    Published: 13/04/2025
  6. MLA 022 Code AI: Cursor, Cline, Roo, Aider, Copilot, Windsurf

    Published: 09/02/2025
  7. MLG 033 Transformers

    Published: 09/02/2025
  8. MLA 021 Databricks: Cloud Analytics and MLOps

    Published: 22/06/2022
  9. MLA 020 Kubeflow and ML Pipeline Orchestration on Kubernetes

    Published: 29/01/2022
  10. MLA 019 Cloud, DevOps & Architecture

    Published: 13/01/2022
  11. MLA 018 Descript

    Published: 07/11/2021
  12. MLA 017 AWS Local Development Environment

    Published: 06/11/2021
  13. MLA 016 AWS SageMaker MLOps 2

    Published: 05/11/2021
  14. MLA 015 AWS SageMaker MLOps 1

    Published: 04/11/2021
  15. MLA 014 Machine Learning Hosting and Serverless Deployment

    Published: 18/01/2021
  16. MLA 013 Tech Stack for Customer-Facing Machine Learning Products

    Published: 03/01/2021
  17. MLA 012 Docker for Machine Learning Workflows

    Published: 09/11/2020
  18. MLG 032 Cartesian Similarity Metrics

    Published: 08/11/2020
  19. MLG 031 The Podcasts Return

    Published: 28/10/2020
  20. 030 New Series: Machine Learning Applied

    Published: 24/05/2018

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Machine learning audio course, teaching the fundamentals of machine learning and artificial intelligence. It covers intuition, models (shallow and deep), math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc.

Visit the podcast's native language site