dcai-lab
missing-semester
| dcai-lab | missing-semester | |
|---|---|---|
| 10 | 375 | |
| 401 | 4,718 | |
| 3.2% | 1.4% | |
| 5.4 | 6.6 | |
| 5 months ago | 6 days ago | |
| Jupyter Notebook | CSS | |
| GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dcai-lab
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Resources to learn practical/industry-focused ML (preferably using TensorFlow)?
Data-Centric AI honestly if you've been working on ML pipelines this might be familiar to you
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Andrew NG, github courses
Another great resource inspired by the Andrew Ng data-centric AI movement is the Introduction to Data-Centric AI course taught this past semester at MIT by PhDs.
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Good Beginner Courses for ML?
Data-centric AI course. Brand new, taught the 1st time a few months ago by MIT PhD grads. This covers how to ensure good data quality for your models. More data science havy.
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[P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions.
Thanks for the kind words! Make sure to check out the current open MIT course if you are just starting out: https://dcai.csail.mit.edu/
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The Missing Semester of Your CS Education
Introduction to Data-Centric AI https://dcai.csail.mit.edu
- Introduction to Data-Centric AI
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MIT Introduction to Data-Centric AI
Course homepage | Lecture videos on YouTube | Lab Assignments
missing-semester
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Ask HN: I want to learn to use the terminal, where do I start
The missing semester of your cs education
https://missing.csail.mit.edu/
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Please advise, still struggling intensely
You mentioned having issues with accessory concepts so perhaps this might help: https://missing.csail.mit.edu/. There's also a chapter on git
- Curso del IPN
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CS2030S and CS2040S advice
https://missing.csail.mit.edu/ is a good way to pass the Dec-Jan break if you want to prep for CS2030S + some more general stuff.
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I cancelled my Replit subscription
Reflecting a little bit more I don't think it was replit's fault, per-say. But that change should have been made together with a larger adjustment to the program. Like adding a class/unit in the style of [the missing semester](https://missing.csail.mit.edu/) to make sure people came away with a good range of intuitions.
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Advice to a Novice Programmer
From MJD's post: I think CS curricula should have a class that focuses specifically on these issues, on the matter of how do you actually write software?
But they never do.
FWIW, MIT's "The Missing Semester of Your CS Education" attempts to deal with this lack, though, even there, it's an unofficial course taught between terms, during MIT's IAP -- Independent Activities Period[1] -- and not an actual CS course.
[0] https://missing.csail.mit.edu/
[1] https://en.wikipedia.org/wiki/Traditions_and_student_activit...
- School of SRE: Curriculum for onboarding non-traditional hires and new grads
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Advice / Resources from a "Seasoned Beginner"
Link to the "missing semester of your CS degree" course by MIT.
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MIT's Missing Semester Class: Beyond the CS Curriculum
Rightly called The Missing Semester (of Your CS Education), this class from MIT will teach you how to use some of the tools that are fundamental to the software engineering ecosystem. From shell scripting to the fundamentals of information security—spanning around 12 lectures—you can add a bunch of practical skills to your toolbox.
- ¿Recomendaciones sobre que aprender?
What are some alternatives?
snorkel - A system for quickly generating training data with weak supervision
cs-topics - My personal curriculum covering basic CS topics. This might be useful for self-taught developers... A work in development! This might take a very long time to get finished!
cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
computer-science - :mortar_board: Path to a free self-taught education in Computer Science!
BotLibre - An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.
CS50x-2021 - 🎓 HarvardX: CS50 Introduction to Computer Science (CS50x)
llm-course - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
vimrc - The ultimate Vim configuration (vimrc)
deodel - A mixed attributes predictive algorithm implemented in Python.
javascript - JavaScript Style Guide
chordviz - A convolutional neural network trained using PyTorch to predict the next chord (as tablature) on a guitar based on image data. Includes labeling software for the image data as well as an iOS app for hosting and running the model.
materials - Bonus materials, exercises, and example projects for our Python tutorials