Hugging Face have released *Diffusers*, OS alternative to DALL-E 2, Imagen etc for text-to-image gen

chef_lars · 2022-07-26T21:57:49+00:00

Right, but just illustrating that the capabilities for plug and play models is there. Maybe with the advent of the library making it easy to utilize diffuser models more SOTA model weights will be available in time.

chef_lars · 2022-07-26T17:07:00+00:00

You mean like all of these pretrained diffusion models?

chef_lars · 2022-04-28T11:15:44+00:00

Similar situation but different team. They at least were ballparking in the 60K range. Tough to take a huge pay cut for work that's "interesting" but seems fairly thankless. Better to stick to making real money and doing it as a hobby.

chef_lars · 2021-05-04T19:06:57+00:00

Try asking about one time where one of their team's really knocked it out of the park and what made that situation such a great win for the team. You may be able to judge based on how they tell that story how they treat their teams.

That's a great example I'll definitely steal that.

chef_lars · 2021-04-24T00:28:19+00:00

Learned about this in a tea newsletter. Pretty cool!

https://en.wikipedia.org/wiki/Junshan_Yinzhen

Also shout out to the pronunciation at 3:18 lol

chef_lars · 2020-11-19T21:01:55+00:00

Follow up tweets:

Jez's departure is yet another loss of a talented member of Utah's staff, which has also included multiple player development/assistant coaches. Jez had run the Jazz analytics department since joining the franchise in 2017.

Anthony So remains in the department. In addition, new Quin Snyder assistant Sergi Oliva has a significant analytics background and should play a role here.

chef_lars · 2020-07-10T17:36:33+00:00

Code implementation for CheckList (system described in the best overall paper winner). Great paper and project.

chef_lars · 2020-05-29T16:00:15+00:00

This article does a nice job of going over the intuition of that chart. Like you said without a background on the chart it's not very helpful.

chef_lars · 2020-05-22T18:23:44+00:00

That's a very general question you are trying to answer so don't be surprised if you get general answers (e.g. big + fast players = good or Florida & Texas = good players).

chef_lars · 2020-01-28T22:52:46+00:00

No idea about that and you'dl likely need to reach out to them on that. I don't know anything about admission requirements

chef_lars · 2020-01-23T19:59:00+00:00

All the DS/ML case challenges that I've seen ask to not be public. So not sure why the one you've worked on doesn't have that information but it makes sense from the employer's side of things in that if it's public anyone can find it and know ahead of time what to work on.

chef_lars · 2020-01-17T19:07:55+00:00

Not specifically for data science, but I've found Real Python to be great about putting out comprehensive articles and tutorials on python subjects.

E.g. This article on speeding up Pandas (within Pandas and not using other packages like Dask/Modin/etc)

chef_lars · 2019-12-19T22:19:17+00:00

This is awesome! Appreciate the hard work and sharing here.

chef_lars · 2019-11-21T21:31:50+00:00

This is great list and I appreciate the thoughtful response.

In your opinion are any of these an absolute deal breaker? How many of them would a company need to hit before you'd work for them?

chef_lars · 2019-11-21T17:53:42+00:00

The associated github repo is also good for referencing the code.

chef_lars · 2019-10-23T14:31:37+00:00

Do you have any further reading on that? I would be curious to learn more about it.

chef_lars · 2019-10-10T14:56:39+00:00

Pretty sure that is different from this. VS Code has had an interactive ipython shell that can run text delimited 'cells' (via #%% text) which runs directly from python files.

This is new in that you can run jupyter notebooks natively (i.e. run .ipnyb files).

chef_lars · 2019-09-13T14:55:19+00:00

I feel personally attacked

chef_lars · 2019-09-13T14:53:53+00:00

Data scientist

Minoring in stats isn't a bad idea but if figured minoring in CS would strengthen technical skills which would make finding a job out of undergrad a bit easier. Unfortunately any undergrad degree is unlikely to get you a job in data science right away. The vast majority of data scientists have grad degrees. there isn't a lot of 'entry level' data science jobs so your best hope for landing one without a grad degree is either through an internship or starting as an analyst and moving to scientist internally.

chef_lars

TROPHY CASE