Delivering Scoped Solutions: Lessons in Fixing Production System Issues - ML 144

Delivering Scoped Solutions: Lessons in Fixing Production System Issues - ML 144

Michael and Ben share their insights on being called in to fix issues in production systems at the last minute. They stress the importance of asking questions to understand the context and navigate the political landscape, and caution against providing half-baked solutions. They also discuss the significance of understanding project goals, documenting decision-making processes, and providing guidance to the team to avoid building unnecessary and difficult-to-maintain systems. Stay tuned as they share their experiences and valuable advice for navigating complex projects and delivering meaningful solutions.


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The Impact of Process on Successful Tech Companies - ML 145

The Impact of Process on Successful Tech Companies - ML 145

Michael and Ben dive into the critical role of design in software development processes. They emphasize the value of clear and understandable code, the importance of thorough design for complex projec...

28 Maalis 20241h 5min

MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143

MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143

Ben and Michael dive into the world of machine learning operations (MLOps) and discuss the complexities of building a computer vision pipeline to detect fishing boats at ports. They unpack the intrica...

14 Maalis 20241h 1min

Navigating Authority and Transparency in Organizations - ML 142

Navigating Authority and Transparency in Organizations - ML 142

Ben and Michael dive into the complex world of decision-making, transparency, and truth-seeking in professional settings. They share their insights on challenging decisions, navigating organizational ...

22 Helmi 202459min

Evolution of Dlib: Addressing Challenges in Machine Learning and Computer Vision - ML 141

Evolution of Dlib: Addressing Challenges in Machine Learning and Computer Vision - ML 141

Davis King is the perception engineer at Aurora. They talk about Dlib, which makes real-world machine learning and data analysis applications. They delve into the complexities of CUDA extensions, soft...

8 Helmi 20241h 17min

Strategies for Improving Code Quality and Maintenance in the Python Environment - ML 140

Strategies for Improving Code Quality and Maintenance in the Python Environment - ML 140

Ben and Michael delve into the crucial aspects of coding, culture, and collaboration. From the importance of proper formatting and consistency in Python code to the challenges of changing organization...

25 Tammi 20241h 5min

Lyft's ML Infrastructure Journey - ML 139

Lyft's ML Infrastructure Journey - ML 139

Konstantin Gizdarski and Jonas Timmermann are software engineers at Lyft. They dive deep into the world of machine learning and engineering at Lyft. Join them as they explore the challenges and succes...

18 Tammi 20241h 5min

From Open Source to Traditional ML with James Lamb - ML 138

From Open Source to Traditional ML with James Lamb - ML 138

James Lamb is a senior software engineer at NVIDIA. They delve into the world of open-source contributions and the impact of traditional machine learning on the modern economy. James shares his journe...

4 Tammi 202454min

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