applied-ml
Visual Studio Code
applied-ml | Visual Studio Code | |
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13 | 2,845 | |
25,984 | 158,365 | |
- | 0.7% | |
3.0 | 10.0 | |
5 days ago | 6 days ago | |
TypeScript | ||
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.
Visual Studio Code
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Download any code editor e.g. VS code. Visual Studio code which is a code editor with support for development operations like debugging, task running, and version control. Go to https://code.visualstudio.com
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A code editor (VS Code is my go-to IDE), but feel free to use any code editor you're comfortable with.
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First, grab your favorite command-line tool, Terminal or Warp, and a code editor, preferably VS Code and let’s begin.
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C# is very good as a language, have developed in it for 5+ years. The problem is the gap between what MSFT promises to management and actually delivers to developers. You really really need to fully read the fine print, think of the omissions in documentation and implement a proof-of-concept that almost implements the full solution to find out the hidden gotchas.
For example, even probably their best product VS Code only got reasonable multiple screens support last year: https://github.com/microsoft/vscode/issues/10121#issuecommen...
And then, on the other end of the spectrum, you have Teams.
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8 Essential VS Code Extensions [2024]
Hey fellow amazing developers, we got you Essential VS Code Extensions for 2024 (these are especially important for web developers) recommended by our developers at evotik, we wont talk about ESlint nor Prettier which all of you already know.
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scrape-yahoo-finance
Visual Studio Code (VS Code): Developed by Microsoft, VS Code is a lightweight yet powerful IDE with extensive support for Python development through extensions. It offers features like IntelliSense, debugging, and built-in Git integration.
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XDebug with WP-Setup
In VSCode for example this can be easily done by adding the following .vscode/launch.json file:
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I can't stand using VSCode so I wrote my own (it wasn't easy)
I had a near-identical experience. I looked into switching in 2019 and ran into this 2016 bug which was a showstopper for me. Fixed it myself, grand total 4 line diff. https://github.com/microsoft/vscode/issues/10643
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Employee Management System using Python.
When working in Visual Studio Code (VS Code), always create a new Python file for your project.
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A deep dive into progressive web apps (PWA)
Code Editor: Choose a code editor like Visual Studio Code that offers good support for web technologies and extensions for PWA development.
What are some alternatives?
awesome-mlops - A curated list of references for MLOps
thonny - Python IDE for beginners
awesome-ml-blogs - Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps
reactide - Reactide is the first dedicated IDE for React web application development.
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.
Spyder - Official repository for Spyder - The Scientific Python Development Environment
Cookbook - The Data Engineering Cookbook
doom-emacs - An Emacs framework for the stubborn martian hacker [Moved to: https://github.com/doomemacs/doomemacs]
ml-surveys - đź“‹ Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
KDevelop - Cross-platform IDE for C, C++, Python, QML/JavaScript and PHP
pipebase - data integration framework
vscodium - binary releases of VS Code without MS branding/telemetry/licensing