The youtube playlist is here: https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjP...
Prof. Sergey Levine is REALLY good at explaining the intuitions of DL algorithms. This class also includes lectures on ML basics and very approachable assignments.
Many classes/blog posts start with describing what a neuron is - that IMHO is a super terrible way to teach a beginner.
To understand DL, one should know why we need activations (because linear models are not enough), why we need back-propagation (because we are optimizing a loss using SGD). This class is very great at explaining those things in an intuitive way. Following through I felt I built a pretty solid ML/DL foundation for myself.
If most of your team is not working remotely - let's be honest - it'll be hard for a remote worker to not feel disconnected with the rest of the team.
When I hear collaborative writing, however, I think of OverLeaf, which tons of researchers I met use for writing LaTex collaboratively. Does Curvenote support Latex editing out of the box? How can you make them transition to your platform if their workflow isn't data heavy?
Btw - I personally am not very happy about OverLeaf. Its UX can be improved in various ways but seems lacking enough development support.
And to the curvenote team: Congrats on launching here! Happy to chat about collaborative scientific writing any time :)
The biggest complaint I have is: I couldn't navigate between different files using some keyboard shortcuts. The only way is to use mouse clicks, which can be quite slow and prone to errors. In modern IDEs you usually can bring up a file search box with hotkeys. The same goes for switching between PDF and tex.
Another thing bothering me is that the hot-key CMD+Enter for compiling doesn't always work. I couldn't figure out when it works and when it doesn't. When it doesn't, I again need to click on the compile button which is inefficient. I also sometimes use CMD+S, but that saves the entire webpage when the editor isn't in focus.
One other classic UI issue - the only way you can expand a folder in the left side bar is to click on the tiny little arrow. This is too inefficient. A much better way would be allowing folder expansion when I click on anywhere in the row containing that folder.
Despite these issues, I want to say a huge thanks for creating OverLeaf - without it it'd be much harder for me to get my degree. :)
Documents can then be exported as a PDF which uses Latex for typesetting, currently that's with a default template, but we're working on user defined templates right now.
When people's workflow is not data heavy, we think there are other features making Curvenote an attractive place to work; the WYSIWYG style of writing, real-time comments and easy sharing on one hand but also how Curvenote helps you easily reuse, update and build on your existing content.
Like many others, I was hyped when it came out. Then it turns out that BERT with half the param count still kicks their butts in accuracy.
They also only model the .real component and ignore the .imaginary component entirely, which you can't do and expect good results.
But, FFTs are so cool and under-explored that I'm sure they'll be making the rounds in NNs soon. There are lots of advantages to frequency space representations.
I do not agree that SQL is "slow" for these types of problems. I've built a number of systems that support this issue effectively. You _could_ use a tool that has schemaless/unstructured data as a first-class feature, but if your goal is to reduce complexity a Postgres instance is just fine. As with all data projects, indexing is important and needs to be thoughtful (from the beginning). For sensor data, it's also a good idea to think about data retention and removal policies immediately (keep your metrics/aggregates, move raw data to cold storage after a while).
Having an example with code on the side can make it much much more clear what your tool does.
The first thing I clicked in the readme is "Why Slidev?", which brings me to the documentation page that had almost nothing graphical.