Combating Burnout in Machine Learning: Strategies for Balance and Collaboration - ML 178
Adventures in Machine Learning12 Des 2024

Combating Burnout in Machine Learning: Strategies for Balance and Collaboration - ML 178

In this episode, Ben and Michael explore burnout, particularly in machine learning and data science. They highlight that burnout stems from exhaustion, cynicism, and inefficiency and can be caused by repetitive tasks, overwhelming workloads, or being in the wrong role. They also tackle strategies to combat burnout, including collaborating with others, mentoring, shifting focus between tasks, and hiring more people to distribute the workload. A key takeaway is the importance of knowledge sharing and not hoarding tasks for job security, as this can lead to burnout and inefficiency. They also discuss managing burnout and its components, particularly exhaustion, cynicism, and inefficiency, through personal experiences. Finally, they talk about how burnout can lead to inefficiency and physical manifestations, like a lack of motivation to engage in activities outside of work.


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ML 001: The Adventures in Machine Learning First Steps

ML 001: The Adventures in Machine Learning First Steps

In this first episode of Adventures in Machine Learning the panel talks about what machine learning is and what the podcast is about. Machine learning is rapidly becoming the future for many industries like banking, telecommunications, advertisements, etc. Yet there are so many subjects involved with it that novices may find it intimidating to get into, let alone start with. Sponsor Machine Learning for Software Engineers by Educative.ioCacheFly Panel Charles Max WoodGant LabordeEric Chalmers Links We fired our top talent. Best decision we ever madehttps://www.coursera.org/learn/machine-learning Picks Eric Chalmers: Rodney Brooks: Robots, AI, and other stuff Gant Laborde: Beginning Machine Learning with TensorFlow.js Charles Max Wood: The Dev Rev Follow Adventures in Machine Learning on Twitter > @DevChatTVAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

8 Sep 202025min

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