Remove my-en careers
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Building a Career in Tech: TDI 38

Data Science 101

This shows how end to end you build and iterate” – via Eleonor Rose (@eleonor.rose) on Threads Welcome @eleonor.rose , what is the single, most impactful, thing you have done to affect your career? My take is that you need a happy medium, you don’t want to be seen as too anxious and you also don’t want to be seen as too relaxed.

B2B 59
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Disinformation Research with @lucas_a_meyer: TDI 21

Data Science 101

How did your career lead you to become a researcher in the AI and LLM space? Most of my work is about disinformation and cybersecurity. My data sources are usually news, logs and web documents. It’s petabytes of data, so a lot of my time is spent processing it. My work also helps improve policies (e.g.,

Finance 64
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Hitting the Gym With Neural Networks: Implementing a CNN to Classify Gym Equipment

Insight

For a deeper dive into the mechanics of CNNs, check out my previous post , “Convolutional Neural Networks Explained…with American Ninja Warrior.” This implied that I would need many, many photos of gym equipment with which to train my image classifier. This structure allows the same network (i.e.

Metrics 58