Adventures in Machine Learning
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.
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- Update frequency
- every 9 days
- Average duration
- 53 minutes
- Episodes
- 209
- Years Active
- 2020 - 2025
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 proje…
01:05:41 |
Thu 28 Mar 2024
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 t…
00:38:12 |
Thu 21 Mar 2024
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 intric…
01:01:21 |
Thu 14 Mar 2024
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…
00:59:58 |
Thu 22 Feb 2024
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, sof…
01:17:18 |
Thu 08 Feb 2024
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 organizatio…
01:05:20 |
Thu 25 Jan 2024
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 succe…
01:05:12 |
Thu 18 Jan 2024
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 journ…
00:54:05 |
Thu 04 Jan 2024
Wars of AI and Justice: Handling Uncertainties and Ethical Quandaries - ML 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…
01:28:50 |
Thu 21 Dec 2023
Beyond Machine Learning - ML 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, …
01:15:44 |
Thu 07 Dec 2023
Unraveling AI's Impact: Computer Vision, Generative Models, and Challenges in Software Development - ML 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 proce…
01:15:36 |
Thu 30 Nov 2023
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Are you looking at all the layoffs and uncertainty going on and wondering if yo…
Are you looking at all the layoffs and uncertainty going on and wondering if yo…
01:12:25 |
Thu 23 Nov 2023
Complexity Theory - ML 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 the…
01:28:25 |
Thu 23 Nov 2023
Data Watchdogs - ML 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 a…
01:00:26 |
Thu 16 Nov 2023
Causal Analysis - ML 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, cre…
01:02:12 |
Thu 09 Nov 2023
Data Visualization and Hugging Face - ML 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 …
01:07:06 |
Thu 02 Nov 2023
Confidence as Data Scientist - ML 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…
01:01:45 |
Thu 19 Oct 2023
A Case Study: Recommendation Engines - ML 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 algorit…
00:50:03 |
Thu 05 Oct 2023
Maximizing Efficiency in ML Project Development - ML 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…
00:47:01 |
Thu 21 Sep 2023
AI that Make You Better - ML 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 t…
01:15:10 |
Thu 14 Sep 2023
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