Episodes

Strategies for Improving Code Quality and Maintenance in the Python Environment - ML 140
Jan 25, 2024
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Episode
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 organizational culture, they explore the impact of code quality on team dynamics and project success. They emphasize empathy, communication, and the power of a positive vision to drive change. Tune in to gain insights on tackling diverse problems, the role of documentation, and the significance of modularization in codebases. Join them as they navigate the world of development and seek to create a positive work environment where clear, understandable code thrives.

Lyft's ML Infrastructure Journey - ML 139
Jan 18, 2024
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Episode
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 successes of implementing reinforcement learning, contextual bandits, and advanced AI technologies in a real-world business environment. Learn about the collaborative engineering culture at Lyft, the development of new ML capabilities, and the unique approaches to infrastructure and model deployment. Listen in as industry experts share their insights on accelerating decision-making processes, simplifying tools for end users, and finding innovative solutions to common engineering challenges.

From Open Source to Traditional ML with James Lamb - ML 138
Jan 04, 2024
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Episode
138
James Lamb is the 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-source projects while offering valuable insights into the benefits and motivations behind contributing to the community.

Wars of AI and Justice: Handling Uncertainties and Ethical Quandaries - ML 137
Dec 21, 2023
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Episode
137
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 implications of AI in warfare, and the challenges of understanding uncertainty in real-world data. From advanced language models and genetic algorithms to the impact of AI on everyday life, get ready for a fascinating and insightful conversation that will expand your understanding of the evolving landscape of machine learning.

Beyond Machine Learning - ML 136
Dec 07, 2023
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Episode
136
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 mentoring relationships, and the value of fostering a collaborative engineering culture. Join us as we explore the pivotal moments and impactful lessons that have shaped Ben's career and influenced their perspective on the ever-evolving tech industry.

Unraveling AI's Impact: Computer Vision, Generative Models, and Challenges in Software Development - ML 135
Nov 30, 2023
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Episode
135
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 and opportunities presented by these fields, as well as the impact of AI technology on various industries, including civil engineering and manufacturing. Join us as we explore the fascinating intersection of technology, innovation, and the future of software development.

How To Recession Proof Your Job - BONUS
Nov 23, 2023
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Episode
BONUS
Are you looking at all the layoffs and uncertainty going on and wondering if your company is the next to cut back?

Complexity Theory - ML 134
Nov 23, 2023
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Episode
134
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 great ideas are formed, whether AGI can be built with silicon-based computers, and much more!

Data Watchdogs - ML 133
Nov 16, 2023
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Episode
133
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 of deep fakes, and much more!

Causal Analysis - ML 132
Nov 08, 2023
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Episode
132
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!

Data Visualization and Hugging Face - ML 131
Nov 01, 2023
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Episode
131
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 techniques, and more!

Confidence as Data Scientist - ML 130
Oct 18, 2023
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Episode
130
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, and offer career guidance for budding data scientists.

A Case Study: Recommendation Engines - ML 129
Oct 05, 2023
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Episode
129
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!

Maximizing Efficiency in ML Project Development - ML 128
Sep 28, 2023
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Episode
128
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 programmatic solutions to automate review processes. They explore the journey of building prototypes, tackling uncertainties, and the quest for a more reliable and efficient review process.

AI that Make You Better - ML 127
Sep 14, 2023
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Episode
127
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 productivity, how Paul thinks about viral content, new applications for LLMs, and much more!

Latest Episode: Why Authenticity Beats Algorithms: The New Rules of Digital Marketing - ML 185
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