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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How to Transition from Academics to Industry - ML 114

How to Transition from Academics to Industry - ML 114

Today we speak with Noah Silbert, a former data scientist at Netflix and current data scientist at Tubi. Expect to learn about company size can impact your role and day-to-day work as a data scientist...

5 Maj 202357min

How to Make your Projects Succeed - ML 113

How to Make your Projects Succeed - ML 113

In today's episode, we walk through a project that Michael is currently working on. Expect to learn about scoping a project, getting feedback, and ensuring value. SponsorsChuck's Resume TemplateDevelo...

27 Apr 20231h 4min

Jason Weimann - Learn Video Game Development with Chuck - BONUS

Jason Weimann - Learn Video Game Development with Chuck - BONUS

Jason Weimann is a Developer and Instructor. He returns to the show with Chuck to talk about video game creation. He shares his experiences as a developer and dives into his courses wherein he gives b...

21 Apr 202350min

How to Think Like a Principal Architect - ML 112

How to Think Like a Principal Architect - ML 112

Today, we do a deep dive into Ben's background. We cover his career trajectory and, more importantly, how nature and nurture have impacted the way he thinks.SponsorsChuck's Resume TemplateDeveloper Bo...

13 Apr 20231h 3min

How Do You Stop Hating Your Job? - BONUS

How Do You Stop Hating Your Job? - BONUS

Are you dissatisfied with your job? Sam Feeney helps organizations improve employee engagement, increase retention, and reinvent hiring while helping individuals (re)discover career satisfaction in th...

13 Apr 202344min

How to Transition from Software Engineer to ML Engineer - ML 111

How to Transition from Software Engineer to ML Engineer - ML 111

Today we speak with a software engineer who is interested in becoming an ML engineer. Expect to learn about ML roles that are most attainable based on a strong software engineering skill set. We also ...

7 Apr 202355min

Machine Learning for Meeting Notes - ML 110

Machine Learning for Meeting Notes - ML 110

Today we look at an applied use case for ML: developing intelligent meeting notes. Expect to learn about LLMs, AI assistants, and how to develop an AI startup.On YouTubeMachine Learning for Meeting No...

30 Mars 20231h 4min

Model Serving at Databricks - ML 109

Model Serving at Databricks - ML 109

Today we deep dive into the mind of two brilliant Databricks software engineers. Their primary project was building the model serving feature, but expect to learn about ML side projects, traits of suc...

27 Mars 202354min

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