Adventures in Machine Learning

A podcast by Charles M Wood - Thursdays

Categories:

183 Episodes

  1. AI Deployment Simplified: Kit Ops' Role in Streamlining MLOps Practices - ML 159

    Published: 7/18/2024
  2. Functional Programming Shift and Scalable Architecture Insights - ML 158

    Published: 7/11/2024
  3. Mentorship and Management: Creating a Collaborative Work Environment - ML 157

    Published: 7/4/2024
  4. The Intersection of Success and Talent Retention in Software Development - ML 156

    Published: 6/27/2024
  5. Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155

    Published: 6/20/2024
  6. Balancing Theoretical Knowledge with Hands-on Experience - ML 154

    Published: 6/13/2024
  7. AI in Security: Revolutionizing Defense and Outsmarting Attackers in the Digital Era - ML 153

    Published: 6/6/2024
  8. The Journey to Expertise with Fernando Lopez - ML 152

    Published: 5/23/2024
  9. Unraveling the Complexities of Model Deployment in Dynamic Marketplaces - ML 151

    Published: 5/9/2024
  10. The Impact of AI Tools on Software Development and Quality Assurance - ML 150

    Published: 5/2/2024
  11. Adaptive Industry ML: Challenges, Automation, and Model Applications - ML 149

    Published: 4/18/2024
  12. Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148

    Published: 4/18/2024
  13. Data Platform Innovation: Navigating Challenges and Building a Unified Experience - ML 147

    Published: 4/11/2024
  14. The Science-Engineering Blend - ML 146

    Published: 4/4/2024
  15. The Impact of Process on Successful Tech Companies - ML 145

    Published: 3/28/2024
  16. Delivering Scoped Solutions: Lessons in Fixing Production System Issues - ML 144

    Published: 3/21/2024
  17. MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143

    Published: 3/14/2024
  18. Navigating Authority and Transparency in Organizations - ML 142

    Published: 2/22/2024
  19. Evolution of Dlib: Addressing Challenges in Machine Learning and Computer Vision - ML 141

    Published: 2/8/2024
  20. Strategies for Improving Code Quality and Maintenance in the Python Environment - ML 140

    Published: 1/25/2024

1 / 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.