New beginnings š”
Hey everyone,
Short one from me this week.
Iām part-way through moving home so itās been pretty hectic.
As with any transition period, it can be stressful but also a great opportunity. A new environment is an opportunity to develop new habits, so Iām trying to get off on the right foot.
I heard that when a London tube line gets disrupted and people have to find an alternative route, ~10% realise the new route is better and end up sticking with it. Iām trying to find my ābetter routeā now, with the details of my usual daily habits disrupted.
The response to my YouTube algorithm article last week was really cool to see. So many people have reached out with thank-yous and suggestions for next steps. Quite a few have even built further code on top of mine, which is awesome. Iām still working through everything, and learning a lot.
Below:
Digital Office Hour
A data science bootcamp opportunity
Best things I found / read about this week
Have a great week!
Chris
š Digital office hour
Thanks to everyone who reached out re: last weekās digital office hours offer. You should have now heard back from me about arranging times. (Let me know if you havenāt!)
If you missed the notice, Iām trying an experiment: Iām hosting a few ādigital office hoursā for group discussion/coaching session about building coding and data science skills.
Hit āreplyā if youād be interested in joining a future group š
š„ A data science coding bootcamp
Earlier this year I attended the āScience to Data Scienceā (S2DS) 5-week Virtual program and it changed my life. It played a big role in me getting my first data science job.
Itās remote, so I think you can access from pretty anywhere close to GMT time zone. Last year we had people from all over Europe.
Theyāve just opened applications for next yearās cohort, and you still have a few weeks to apply. You can apply here.
Feel free to mention that I sent you, and hit āreplyā to this message if you have any questions about the program!
⨠Favourite things on internet this week:
DeepMindās AlphaFold (original publication) is a neural network that predicts 3D protein structure. This week, the latest version of their model was recognised as the solution to the āprotein folding challengeā, which people have been trying to solve for almost 50 years.
After āgoing viralā on Medium, I re-visited this blog post from Thiago Forte about why people shouldnāt focus on building an audience on Medium.
I enjoyed Tom Scottās video about how the internet has deviated away from its initial āuniversal information systemā aspirations.
For the productivity-inclined, you may enjoy this app for saving text snippets from podcasts you listen to.
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About Me
Hi! Iām Chris Lovejoy, a Junior Doctor and Data Scientist based in London.
Iām on a mission to improve healthcare through technology (particularly AI / machine learning), and share what I learn along the way.
In this weekly newsletter, I share my top thoughts and learnings from each week, as well as links to the best things on the internet that I come across.