Navigating Expertise Gaps - ML 172

Navigating Expertise Gaps - ML 172

In today's episode, Ben and Michael discuss how to handle situations involving individuals lacking expertise in machine learning projects. They explore scenarios where a team lacks expertise, considering approaches for consultants or team members. They discuss various personality types encountered in such situations, including those overly suspicious or resistant to change. Moreover, they discuss how to convince a boss that a proposed project is a bad idea, suggesting a structured approach with clear estimates, risk assessment, and alternative solutions. They emphasize the importance of honesty, transparency, and presenting options with clear pros and cons.
The discussion then returns to the Gen AI time-series case study, suggesting a presentation of multiple options, including established algorithms and the Gen AI approach, to facilitate a data-driven decision.
Finally, the episode addresses the scenario of a teammate being untrained about a system they built, suggesting a combination of direct but constructive feedback and a collaborative approach to identify the root cause of the issue.


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

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 ...

21 Dec 20231h 28min

Beyond Machine Learning - ML 136

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, t...

7 Dec 20231h 15min

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

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 proces...

30 Nov 20231h 15min

Complexity Theory - ML 134

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 theo...

23 Nov 20231h 28min

How To Recession Proof Your Job - BONUS

How To Recession Proof Your Job - BONUS

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 you...

23 Nov 20231h 12min

Data Watchdogs - ML 133

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 ap...

16 Nov 20231h

Causal Analysis - ML 132

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, crea...

9 Nov 20231h 2min

Data Visualization and Hugging Face - ML 131

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 e...

2 Nov 20231h 7min

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