In October 2022, signed up for Dickie Bush & Nicolas Cole's writing course Ship30for30.

30 days. 30 essays.

I knew other machine learning enthusiasts would benefit from everything I learned during my PhD, consulting, and teaching in places like the UK government, universities, and even multi-national corporations like Shell.

But I was stuck.

Here is why I started:

  • Break the Cycle: stop wasting my thinking time, anxious that I should be writing, tweeting, filming a new Youtube video. Start sharing!

  • Share my Knowledge: I loved teaching. I hated the idea that I spent 3 years on a PhD, just to lock up those insights in papers and my brain.

  • Write to Publish: Feedback has been the biggest catalyst in my learning. What if I shared ideas freely to see them return as I did before?

Here is why I kept going:

  • I broke the cycle! I realized that daily writing is mostly about sitting down daily. The common advice of "batch writing" and scheduling out was hamstringing me.

  • I got amazing feedback! I had so many lovely conversations under my posts. People resonated with insights from small to large that I shared.

  • I published and it came around! I quickly saw what others cared about. Each published article and each teaching lead to me learning about new Python libraries, ML tricks, and amazing people!

Over the next 30 days, I plan on writing about Machine Learning, Developer Productivity, and Career Changes.

Join me on this adventure — and let me know if you have any questions along the way!

That's why I'm excited to keep sharing what I know online.

Why I still write about Real-world Machine Learning online – Atomic Essay by Jesper Dramsch