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 Mar 20241h 5min
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 th...
21 Mar 202438min
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 Mar 20241h 1min
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 Feb 202459min
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 Feb 20241h 17min
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 Jan 20241h 5min
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 Jan 20241h 5min
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 Jan 202454min
