Adventures in Machine Learning
A podcast by Charles M Wood - Thursdays
209 Episodes
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Demystifying AI Innovations - ML 165
Published: 12/09/2024 -
Maintaining Backward Compatibility in Software Projects: Strategies from Industry Experts - ML 164
Published: 29/08/2024 -
Building, Testing, and Abandoning Software - ML 163
Published: 22/08/2024 -
AI in Education: From Micro-Courses to Rigorous Training Programs - ML 162
Published: 15/08/2024 -
Transforming Recruitment with AI: Surveys, Sentiment, and Data-Driven Insights - ML 161
Published: 8/08/2024 -
How AI and Deep Fakes Are Transforming Security and Customer Trust - ML 160
Published: 24/07/2024 -
AI Deployment Simplified: Kit Ops' Role in Streamlining MLOps Practices - ML 159
Published: 18/07/2024 -
Functional Programming Shift and Scalable Architecture Insights - ML 158
Published: 11/07/2024 -
Mentorship and Management: Creating a Collaborative Work Environment - ML 157
Published: 4/07/2024 -
The Intersection of Success and Talent Retention in Software Development - ML 156
Published: 27/06/2024 -
Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155
Published: 20/06/2024 -
Balancing Theoretical Knowledge with Hands-on Experience - ML 154
Published: 13/06/2024 -
AI in Security: Revolutionizing Defense and Outsmarting Attackers in the Digital Era - ML 153
Published: 6/06/2024 -
The Journey to Expertise with Fernando Lopez - ML 152
Published: 23/05/2024 -
Unraveling the Complexities of Model Deployment in Dynamic Marketplaces - ML 151
Published: 9/05/2024 -
The Impact of AI Tools on Software Development and Quality Assurance - ML 150
Published: 2/05/2024 -
Adaptive Industry ML: Challenges, Automation, and Model Applications - ML 149
Published: 18/04/2024 -
Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148
Published: 18/04/2024 -
Data Platform Innovation: Navigating Challenges and Building a Unified Experience - ML 147
Published: 11/04/2024 -
The Science-Engineering Blend - ML 146
Published: 4/04/2024
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.
