#fosdem #fsf : #machineLeaning and it's freedom related challenges
#MachineLeaning
0 posts0 participants0 posts today
in my 
Bill Toulas wrote a summary about the drama with #Ultralytics #YOLO at bleepingcomputer.com
In the meantime, I learned that there is a #GitHub repo about dramas at GitHub:
BleepingComputer · Ultralytics AI model hijacked to infect thousands with cryptominer
NVIDIA AI Releases cuPyNumeric: A Drop-in Replacement Library for NumPy Bringing Distributed and Accelerated Computing for Python #python #cuda #ai #MachineLeaning
MarkTechPost · NVIDIA AI Releases cuPyNumeric: A Drop-in Replacement Library for NumPy Bringing Distributed and Accelerated Computing for PythonOne of the long-standing bottlenecks for researchers and data scientists is the inherent limitation of the tools they use for numerical computation. NumPy, the go-to library for numerical operations in Python, has been a staple for its simplicity and functionality. However, as datasets have grown larger and models more complex, NumPy’s performance constraints have become evident. NumPy operates solely on CPU resources and isn't optimized for the massive datasets often processed today. The limited computing power of a single CPU core leads to bottlenecks, extending computational times and restricting scalability. This gap has created a need for more efficient tools
Super excited about the 50th (FIFTIETH! We've organized FIFTY of those?!) Paris Women in Machine Learning and Data Science meetup, featuring Irène Waldspurger on low-rank optimization and @Isabellecollet on AI and male fantasies of self-engineering!
Oct 11 at 18:30 at Pruna.ai (Paris, 9th arrondissement). Everybody is welcome, just register to attend on meetup.
https://www.meetup.com/paris-women-in-machine-learning-data-science/events/303507305
Meetup50. Paris Women in Machine Learning & Data Science @Pruna.ai, Fri, Oct 11, 2024, 6:30 PM | MeetupThe Women in Machine Learning & Data Science (WiMLDS) Meetup aims to inspire, educate, regardless of gender, and support women and gender minorities in the field.
**We are
| wörk 
@gerrymcgovern Or summarized:
#challenge - write a program that calculates the area of a rectangular.
Junior dev takes 1 coffee and 3 minutes with a result of 12.
#machineleaning takes 5 TByte of data, 60 hours training with a result of 11.997459...
I am not sure that everyone gets that RLHF is a form of supervised learning.
RLHF does not work without human labels (preferences) nor human curated training samples.
Hi all.
I would like to give my #introduction. I am an Associate Professor (Reader) of Artifical Intelligence in the UK. I am interested in #deeplearning and applying #machineleaning and #DataScience to smart cities and healthcare solutions. I am currently studying the Practical Deep Learning course by @jh. I have been involved in participatory governance projects for about 10 years now. I have joined Mastodon as I’m very interested in professional networking and collaboration.
I really like Eyal Dechter's thesis "Using the Language of Thought". I think stochastic context free grammar induction maps well to the requirements for episodic to semantic learning.
I did badly in the latest Kaggle competition and spent few days trying to find out why. I found why: I implemented a different metric than the competition metric, i.e. I spent 2 months optimizing for the wrong metric! Can there be a more stupid way of doing #machineleaning ?
My new article in @towardsdatascience
IML can increase/improve:
- Accuracy
- Performance in production
- Trust
- The reach of ML
- Storytelling
- Knowledge
Would you add anything?
#DataScience #MachineLeaning #IML #XAI #Interpretability #Explainability
No paywall link:
https://towardsdatascience.com/the-6-benefits-of-interpretable-machine-learning-e32fb8b60e9?sk=109f1fb39c5f18082c14105785b8e2af
Towards Data ScienceThe 6 Benefits of Interpretable Machine Learning - Towards Data Science
Working on a new article "Debugging a PyTorch Image Model with SHAP"
A mini-car takes images of a track as input. Using these, a model is used to make predictions which then turn the car.
Using SHAP, we can see the model uses background pixels when making predictions. This causes problems when we move the car to a new location.
Should be out next week :)
Are bootcamps for datascience/machine learning useful? Or is it just a waste of money and time?
Any thoughts about that? Any recommendations?
Each new paper proposing a generative text or image model should include a table evaluating how hilarious the resulting memes are, compared to the prior state-of-the-art.
By this metric, Craiyon (formerly DALLE mini) and Garkov (http://joshmillard.com/garkov/) are very strong baselines.
joshmillard.comGarkov -- Garfield + Markov chains -- Josh Millard
To the #nlp community:
What annotation tool do you recommend?
Mostly for named entity recognition purposes but any option is valid.
This feels like the early days of Google+. A great #MachineLeaning community
Hi! My name is Raphael and I'm a Senior Machine Learning Engineer working on autonomous Driving! I'm interested in all kinds of Science and Engineering topics but my main interests revolve around CV, NLP, depth estimation, image augmentation, differentiable rendering, and multimodal learning! Find some of my projects at www.rpisoni.dev
#Introduction #MachineLeaning #ai
Hello Everyone, I'm looking for some opportunities in healthcare sector specially research position. I also have couple of ideas to discuss what's I'm working on and what's my motive so I would like to connect with people with same industry and explore something valuable together. Thanks
#Introduction I'm a newly unemployed (
). Machine Learning Engineer. Trying to find all the relevant ML follows from Twitter. On the bird app mostly for that community. Glad to see quite a few here.
I just moved to sigmoid.social, so here's my intro again (sorry for repost):
Here's my #introduction: I'm a swesearcher in Google Brain #Montreal, working mostly on #reinforcementlearning , but also trying to use #MachineLeaning for #creativity.
I'm also a jazz musician and have a #disklavier with which I do funky piano visualizations (check out my YouTube channel: https://youtube.com/c/MUSICODE_psc ).
Originally from #Quito #ecuador, now living in #Ottawa!
Hello!
YouTubeMUSICODEEach episode explores a topic in Computer Science, a topic in Music, and combines them in creative ways!
Livestream performances every Tuesday at 9:30pm ET, using various custom visualizations.
Hi all, #Introduction time. I'm a #rugby mad #Irish man who's hopefully about 6 months away from getting my master's in #dataanalytics, which includes a good helping of #stats, #MachineLeaning and #AI. A native speaker of #gaeilge, love to talk #tech, #science, or just shooting the breeze.