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ML in Practice

I've been fascinated by AI ever since I first laid hands on a computer. I'm writing about observations, thoughts, and hopefully interesting things I come across. I've studied computer science, did a Ph.D. in machine learning, was a PostDoc researcher, engineering manager, individual contributor, and most recently a consultant.

mlinpractice.substack.comSource feed ↗10 episodes

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How long till AGI...?

...or how to interpret tech predictions

Archetypes for AI

Back in 2019 I was frustrated with my job and played around with the idea to quit it and start my own company… or something… .

Discussing All Things AI on Vivek Juneja's Podcast "In your shoes"

Another month, and we seem to be through the hottest phase of the hype cycle.

How To Get Started With AI As A Software Engineer?

What do and don't I need to know?

AI April: When a month feels like a decade

When I wrote my last newsletter on March 20, it felt like we had already reached Peak AI Hype, but in retrospect, it seems we were just getting started.

Enough of the AI Hype already

It's paradoxical.

ML in Practice - Issue #10: Are AI's thinking yet?

There has been a lot of discussions whether recent large language models are sentient. Let's dive into some of the pointers and discussions around this.

ML in Practice - Issue #9

It has been a long while since the last newsletter. I've continued to work on projects with several clients, mentoring data science teams as well as early stage startup CTOs. My biggest project went on a break early March and will likely continue in a couple of weeks.I actually took the time to code again, something I've always wanted ever since I started to be a consultant. I tried many times,…

Marginally Interesting - The Newsletter - Issue #8 - Whoa what happened

I was going steady for seven issues of this newsletter, but then the summer vacation came and broke the stride, and yeah... what happened then?To be honest I'm not so sure either. I vaguely remember there being a lot of requests for potential projects coming in. In fact so many that for a while I was very afraid what might happen if all those projects would start. Which they luckily didn't.One…

Marginally Interesting - The Newsletter - Issue #7: What Particle Accelerators Teach Us About Data Culture

One of the biggest challenges when building data products is data.