Lukas Geiger is a Deep Learning Scientist, open-source developer, and an astroparticle physicist. He shares his experience using machine learning to analyze cosmic ray particles and detect secondary particles. We explore the challenges and oppo

Data Platform Innovation: Navigating Challenges and Building a Unified Experience - ML 147

16 days ago 1h 6m

Nick Schrock is the Founder of Dagster Labs. He is also the Creator of Dagster and the Co-creator of GraphQL. They delve into the world of data engineering, software development, and ML orchestration. In today's episode, they explore the challe

The Science-Engineering Blend - ML 146

23 days ago 51m 49s

Ben and Michael dive into the dynamic relationship between engineers and scientists in the realms of software engineering and physical science. They explore the differences and similarities between these roles, sharing valuable insights on the

The Impact of Process on Successful Tech Companies - ML 145

30 days ago 1h 5m

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 projects, and the need for comprehensive documenta

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

Mar 21st, 2024 38m 12s

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 p

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

Mar 14th, 2024 1h 1m

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 intricacies of MLOps basics and the challenges of i

Navigating Authority and Transparency in Organizations - ML 142

Feb 22nd, 2024 59m 58s

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 hierarchies, and the importance of evidence-

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

Feb 8th, 2024 1h 17m

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, software layering, and the critical role of accu

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

Jan 25th, 2024 1h 5m

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 organizational culture, they explore the impact of code

Lyft's ML Infrastructure Journey - ML 139

Jan 18th, 2024 1h 5m

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 successes of implementing reinforcement learning,

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

Jan 4th, 2024 54m 5s

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 journey of becoming a maintainer of renowned open-

Wars of AI and Justice: Handling Uncertainties and Ethical Quandaries - ML 137

Dec 21st, 2023 1h 28m

Richard Berk delves into the exciting world of machine learning in a thought-provoking discussion on a wide range of topics. They explore the potential for Westworld-style androids, considerations in the criminal justice system, ethical implic

Beyond Machine Learning - ML 136

Dec 7th, 2023 1h 15m

Michael and Ben take a deep dive into the insightful journey spanning nuclear engineering, software development, and mentorship at Databricks. They delve into the complexities of career progression, the importance of humility and honesty in men

Unraveling AI's Impact: Computer Vision, Generative Models, and Challenges in Software Development - ML 135

Nov 30th, 2023 1h 15m

Piotr Skalski is a computer vision engineer at Roboflow. They dive deep into the world of computer vision and AI technology, exploring the utilization of video, photo, and imagery data in array processing and NLP. They discuss the challenges an

Complexity Theory - ML 134

Nov 23rd, 2023 1h 28m

In today's episode, we speak with Neil Theise, a pathologist at NYU and author of Notes on Complexity: A Scientific Theory of Connection, Consciousness and Being. Expect to learn about complexity theory and its implications for sentience, how

How To Recession Proof Your Job - BONUS

Nov 23rd, 2023 1h 12m

Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" DealCoupon Code: "THRIVE" for a GIANT discountAre you looking at all the layoffs and uncertainty going on and wondering if your company is the next to cut back? Or, maybe

Data Watchdogs - ML 133

Nov 16th, 2023 1h

In today's episode, we speak with Agata Checinska (Spotify) and Kasia Batko-Toluc (Citizen Network Watchdog Poland) about data privacy, accessibility, and accuracy. Expect to learn about how Poland approaches these sensitive topics, the power o

Causal Analysis - ML 132

Nov 9th, 2023 1h 2m

In today's episode, we speak with Pierre Eliseeff, co-founder of Analyzr and causal inference expert. Expect to learn a 3-step blueprint for doing causal analysis, thinking critically about data, creating successful projects, and much more!Spon

Data Visualization and Hugging Face - ML 131

Nov 2nd, 2023 1h 7m

In today's episode, we chat with Sylvain Lesage from Hugging Face, a specialist in data visualization and software engineering. Dive in to discover insights about Hugging Face's software engineering environment, invaluable data visualization te

Confidence as Data Scientist - ML 130

Oct 19th, 2023 1h 1m

In today's episode, we chat with Adam Ross Nelson - a data scientist, career mentor, and writer. Our primary focus is understanding when you've achieved "good enough" skills. Additionally, we explore team dynamics, the importance of soft skills

A Case Study: Recommendation Engines - ML 129

Oct 5th, 2023 50m 3s

In today's episode, we delve into a popular topic at Databricks: building recommendation engines. We'll guide you on how to plan such projects, measure your model's success, suggest effective algorithms, and cover many other insights!SponsorsCh

Maximizing Efficiency in ML Project Development - ML 128

Sep 21st, 2023 47m 1s

Ben and Michael delve into the world of data science and software development. They discuss the importance of setting standards and documentation in project development, the struggle of reviewing and maintaining code changes, and the need for p

AI that Make You Better - ML 127

Sep 14th, 2023 1h 15m

In today's episode we speak with Paul Allen, the creator of Ancestry.com. Currently, he is CEO of Soar.com, a platform that leverages AI to make you live a more fulfilled and effective life. Expect to learn about applying LLMs to personal produ

Challenges for LLM Implementation - ML 126

Sep 7th, 2023 1h 16m

In today's episode, we speak with Anand Das, the CTO and co-founder of bito.ai, an LLM-powered code assistant. Expect to learn about managing LLM context, keeping LLMs up-to-date, common user pitfalls, and much more!SponsorsChuck's Resume Temp

ML in the Cannabis Industry - ML 125

Aug 24th, 2023 53m 20s

In today's episode, we speak with Shivek Sachdev, product owner at a seed-to-sale Cannabis company. Expect to learn about disrupting new industries, applying LLMs to daily work, and much more!SponsorsChuck's Resume TemplateDeveloper Book Club s