applied-ml
PowerShell
applied-ml | PowerShell | |
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13 | 397 | |
25,984 | 43,400 | |
- | 0.7% | |
3.0 | 9.6 | |
5 days ago | 2 days ago | |
C# | ||
MIT License | MIT License |
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applied-ml
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[D] Favorite ML Youtube Channels/Blogs/Newsletters
Also, have any of you stumbled across any cool GitHub repos like this one: https://github.com/eugeneyan/applied-ml ?
- Curated Papers on Machine Learning in Production
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Top Github repo trends in 2021
The second repo I LOVE is Eugene Yan’s Applied ML repository. This is a brilliant idea to create and actually something I was planning on sort of casually doing in my non-existent free time… Anyhow, it is a curated list of technical posts from top engineering teams (Netflix, Amazon, Pinterest, Linkedin, etc.) detailing how they built out different types of AI/ML systems (e.g. forecasting, recommenders, search and ranking, etc.). Ofc, it focuses on AI/ML, but something similar could be made for the traditional or BI-oriented analytics stack, as well as the streaming world, super high value for practitioners! Btw-one of my favorite things at BCG used to be looking at our IT architecture team’s reference architecture diagrams… the best way to understand technologies is to look at how a ton of stuff is architected… and its fun!
- Curated papers, articles, & blogs on data science and ML in production
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Messed up my career by pivoting to DS. Wondering if it's too late to switch to MLE
Applied ML: A collection of papers, articles, and blogs on ML in production by different companies (Netflix, Uber, Facebook, LinkedIn, etc)
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[D] A dilemma of an ML guy in industry
Eugene Yan's applied-ml has tons of case studies.
- Papers & tech blogs by companies sharing their work on data science & machine learning in production.
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My information dump for people trying to break into data science/interview notes
https://github.com/eugeneyan/applied-ml You may find some of his links interesting. I would avoid anything that refers to scaling up a platform as these are more backend engr focus. The more relevant posts to you are probably on the scale of blog posts that are product oriented like the ones I listed in section 4 (e.g. we wanted to solve X for our users and this is how we scoped and defined it). The technical aspects should come backseat to the business aspects. There's def a lot of companies/blog posts that he missed, but the internet is huge.
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[D] Can anyone point me to resources/case studies of companies/business creating infrastructure for their data needs?
Check the resources mentioned in applied-ml. It includes blog posts/papers from many companies describing how they built some ML product X.
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What content would be useful to intermediate Data Scientist
Check out this repo. They collect hundreds of case studies, broken down by dozens of methodologies from large real-world companies such as AirBnB, Nvidia, Uber, Netflix etc.
PowerShell
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PowerBI: déployer une passerelle sur AWS pour $0.12/j
msiexec.exe /package https://github.com/PowerShell/PowerShell/releases/download/v7.2.6/PowerShell-7.2.6-win-x64.msi /quiet ADD_EXPLORER_CONTEXT_MENU_OPENPOWERSHELL=1 ADD_FILE_CONTEXT_MENU_RUNPOWERSHELL=1 ENABLE_PSREMOTING=1 REGISTER_MANIFEST=1 USE_MU=1 ENABLE_MU=1 ADD_PATH=1
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Sudo for Windows
This smells like when PowerShell aliased curl and wget to a completely different command, with incompatible arguments.
https://github.com/PowerShell/PowerShell/pull/1901
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Gooey: Turn almost any Python command line program into a full GUI application
PowerShell is available on macOS and Linux as well (source on Github: https://github.com/PowerShell/PowerShell). It may not be as well-integrated with things like system services management, but the language still works well. You can still use all the command line tools you're used to on Linux, of course.
nushell does look interesting, though the lack of a .deb repository does put it pretty low on my to-do list.
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3 lines of code don't understand the results.
Issue #7940 discusses potential improvements to array slicing.
- Task Scheduler -windowstyle hidden / minimized
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Just messing around with arrays and efficiency in PS, thought I'd share
Note: This can be problematic as it prevents upstream commands from running their end {} block. See here. The new clean {} block introduced in PowerShell v7.3 does not suffer from this issue.
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Jaq – A jq clone focused on correctness, speed, and simplicity
Can you give an example of something that PS can do that is built-in for text processing, instead of a proprietary symbolic query language?
[1] https://github.com/PowerShell/PowerShell
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The bash book to rule them all
https://github.com/PowerShell/PowerShell/blob/master/LICENSE... is the MIT license. (Microsoft supplies debs directly which may reduce the motivation for Debian to do so.)
Oh, heh, also https://github.com/PowerShell/PowerShell/blob/master/docs/bu... the build script is written in PowerShell, so there's a bootstrapping problem :-) (Debian has solved those before of course, but with community sentiment like the above maybe noone is motivated to bother.)
- Did Reddit just denylist all IPs?
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Register-ArgumentCompleter: how to fall back to file completion when completing a flag such as "--foo="
According to https://github.com/PowerShell/PowerShell/issues/19628, the default behaviour is invoked whenever the completion script returns no output. To attempt to do so, I tried exiting the script via returning an empty string, or using the return keyword to exit the script completely, unfortunately with no avail. Is there a technique to achieve what I want, and is there any documentation about it other than the official one? Thank you in advance.
What are some alternatives?
awesome-mlops - A curated list of references for MLOps
nushell - A new type of shell
awesome-ml-blogs - Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps
winpty - A Windows software package providing an interface similar to a Unix pty-master for communicating with Windows console programs.
machine-learning-roadmap - A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Windows Terminal - The new Windows Terminal and the original Windows console host, all in the same place!
Cookbook - The Data Engineering Cookbook
WFinfo - :computer: A fissure Companion App for Warframe
ml-surveys - đź“‹ Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
PowerToys - Windows system utilities to maximize productivity
pipebase - data integration framework
ShellCheck - ShellCheck, a static analysis tool for shell scripts