I’d doubt it’s even that complicated, a few if-statements would be enough.

I'm not sure why you think that. The input data is clearly quite high-dimensional. Unless you work there, it seems rather arrogant to suppose that you could replace someone's hard work with "a few if statements". Unless you meant learning a decision tree classifier from the data?

How is £$165/year not nutty? That is more than I pay per year for Amazon Prime, Spotify, Disney+, MLB or The Economist. All for basically being able to just write text in a browser and store it.

Ah yes, can't wait for a 250 page book that should've been a blog post full of high-level content that you can easily find online, padded out with tenuously linked anecdotes.

And how does this company make money? Harvesting and selling all of my data?

If you read the page it says "For upgrade, we support a variety of lifestyles."

So there's gated paid features, like telling you if something is vegan (which would save me a lot of time sifting through ingredient lists so I'd totally pay for it).

That's correct! We also have an affiliate model with some of the retailers we support so get a small kick back from the retailer if you use our Browser Extension while doing your online grocery shopping.

I’ve been interested in making an open source version of the Seeing AI app (https://www.microsoft.com/en-us/ai/seeing-ai) with a more limited scope. Contact me if this sounds inline with your ideas.

Not sure if that’s a good idea. Would love to chat and understand better. Happy to disagree but curious to understand!

Can’t figure out a way to contact you from your About section —- I’m a ML engineer with an early interest in algorithmic trading, would be interested in brainstorming ideas.

Apologies. Should be there now. I can reach out also.

I’m looking for collaborators for re-implementing “modern” machine learning and deep learning models/papers. Modern is in quotes as I’d actually like to focus less on the super recent, and more on those around ~5 years old, as the compute required is usually more feasible. As well as the implementation (which will be open sourced, well written and documented), I’d also like https://distill.pub/ style articles to go along with the implementations.

I’d also like to get into algorithmic trading, but this is something I’m at the very early stages of researching into.

If any of that sounds interesting, contact details are in my profile.

Nobody should feel alone at Christmas. If anyone needs someone to talk to, about anything at all, feel free to contact me. Details in my profile.

This looks great. Is it possible to get this as an RSS feed instead of an e-mail newsletter?

Here's a paper on how BERT (a large Transformer model trained using self-supervised learning) implicitly learns the traditional NLP pipeline: https://arxiv.org/abs/1905.05950