Slite is a simple collaborative documentation tool that helps businesses stay organized and work more thoughtfully.
Based on our record, Scikit-learn should be more popular than Slite. It has been mentiond 28 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.
Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / about 1 year ago
The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: over 1 year ago
We use slite.com and it's really been great. Source: over 1 year ago
Slite - super underrated knowledge base, prettier and simpler than Notion, cool team & badass blog. Source: over 1 year ago
We use slite.com (for no particular reason) and link to each sop in a google spreadsheet process thats set up for a particular large task. That spreadshseet is shared among everyone. Each SOP contains a video as well of how to do the task being as specific as possible. Source: almost 2 years ago
For solo knowledge management: Logseq For collaborative work, longform discussions, shared wiki: Slite. Source: about 2 years ago
This is really just advertising (little content in the slides) for Slite: https://slite.com/. - Source: Hacker News / over 2 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.
OpenCV - OpenCV is the world's biggest computer vision library
Confluence - Confluence is content collaboration software that changes how modern teams work
NumPy - NumPy is the fundamental package for scientific computing with Python
Nuclino - Nuclino works like a collective brain, helping teams bring all their knowledge, docs, and projects together in one place. It's a modern, simple, and blazingly fast way to collaborate.