Nolt.io
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Scikit-learn
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NumPy
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Nolt.io Scikit-learnBased on our record, Scikit-learn should be more popular than Nolt.io. It has been mentiond 40 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Iโve seen others use nolt. https://nolt.io/. - Source: Hacker News / almost 2 years ago
Seems like nolt.io and rust feedback is privated at the moment, must have had ppl bombing it after the update. Source: almost 3 years ago
- Employee feedback board - a place where bigger companies can head their employees and their problems (https://nolt.io/ for employees and companies). Source: almost 4 years ago
Well it is one of the better early tier monuments, what other reason would they have for making it easier? It has always worked properly and fine. Also there was a MASSIVE uproar from the community because of it, if it wasnt just for the noobs they would have left it. https://rust.nolt.io/ had practically nothing but complaints from players on it for weeks, to this day I still occasionally see it. Not to mention... Source: about 4 years ago
If anyone at bigscreen reading this then please make a http://feedback.bigscreenvr.com/ page and use Nolt ยท Feedback boards your users will love or something like this or make a custom one, so anyone can see your roadmap and give suggestion and vote ideas. It will also help you to know what users want and you will also get lot of free ideas. Source: over 4 years ago
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 1 month ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / about 2 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 4 months ago
Canny.io - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
UserVoice - UserVoice integrates easy-to-use feedback, helpdesk, and knowledge base management tools in one platform that empowers users to speak and companies to understand.
NumPy - NumPy is the fundamental package for scientific computing with Python
Upvoty - User feedback in 1 simple overview ๐ฅ
OpenCV - OpenCV is the world's biggest computer vision library