Hey folks 🎉
my computer is set up in my new flats and I’m hunting for a new couch and other furniture. But that doesn’t stop us from some amazing machine learning!
The Latest Fashion
ConvNets for the 2020s is a new paper that shows little tweaks to CNNs to outperform transformers without using attention!
I love improving science communication. This Latex package enables annotating equations within the document.
PDFs about data science interviews are popular on Linkedin, now a book about deep learning interviews has made it to Arxiv for free.
My Current Obsession
I finally got my things from the UK and have internet access in my new flat in Germany! So now I have some time to recover from that stressful time.
Finally, I can share with you that I was selected as one of the 2022 fellows for the Software Sustainability Institute. Here’s the official announcement. I’m joining the ranks of some truly inspirational people and I can’t wait.
My Youtube has reached 1000 subscribers! 🎉 Incredible honestly, I did not think this would ever happen, and it feels pretty amazing. Glad to have so many people along for the journey.
I have also re-joined the ship30 for 30 course for the January cohort. I have been writing a Twitter thread about machine learning each day. This has been tremendous fun.
Thing I Like
I’ve started reading again. I’ve been enjoying some Terry Pratchet on my new kindle Paperwhite, the backlight is such a gamechanger.
Hot off the Press
These start off as Twitter threads, if you want to check those out, click the little birdy 🐦!
Let’s start off with the announcement of my Sustainable Software Institute fellowship announcement post. 🐦 I also posted my application video and you can tell I was nervous.
I wrote about how worldwide Trillions of Dollars in Value Are Lost in PDFs 🐦
Two articles are treating the issue of starting out. How do you gauge the difficulty of a new machine learning project? 🐦 Alternatively, if you want to start your first machine learning project, here are 3 websites that are perfect to get you off the ground. 🐦
Is data science and AI dead? I don’t think so and here’s why. 🐦
You’re using Kaggle wrong and here’s how you get the most out of the platform. 🐦
The final article is a long one. I finally got around writing up some thoughts about the L1 and L2 norm, why they’re used as loss functions in ML and physics. To round it off I share a personal recommendation from a Stanford professor. This one is long, I recommend not reading it on Twitter, but regardless: 🐦
Pydata Global published the talks on Youtube so you can now watch: How to Guarantee No One Understands Your ML Project.
Question of the Week
How do you make a machine learning model robust to outliers?
Post them on Twitter and Tag me. I'd love to see what you come up with. Then I can include them in the next issue!
Tidbits from the Web
Can you make fire with a broken empty lighter?
I watched the short documentary Holy Ghost about the change of singers in the band Architects after tragedy struck. It’s sad but beautiful (CW: death).
I did not know Union Busting was this prevalent in the US, not until John Oliver made a show about it on Last Week Tonight.