Based on our record, Zig should be more popular than Scikit-learn. It has been mentiond 144 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 / 12 months 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
It's "Zig" not "Zag". https://ziglang.org/ Zig is under heavy development, but there's a single page https://ziglang.org/documentation/0.12.0/ that is a reasonably comprehensive source of truth about the current state of the language. - Source: Hacker News / 28 days ago
When writing code in a scripting language, sometimes you need that extra bit of performance (or maybe an async feature from Zig). - Source: dev.to / about 2 months ago
NodeJS is by no means a slow runtime, it wouldn’t be so popular if it was. But compared to Bun, it’s slow. Bun was built from the ground up with speed in mind, using both JavascriptCore and Zig. The Bun team spent an enormous amount of time and energy trying to make Bun fast, including lots of profiling, benchmarking, and optimizations. - Source: dev.to / 2 months ago
You may find Zig interesting: https://ziglang.org. The language is not C compatible but the tooling can compile C and C++ without hassle. - Source: Hacker News / 4 months ago
Zig describes itself as "... a general-purpose programming language and toolchain for maintaining robust, optimal and reusable software.". Sounds very generic, eh? - Source: dev.to / 5 months ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Nim (programming language) - The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.
OpenCV - OpenCV is the world's biggest computer vision library
V (programming language) - Simple, fast, safe, compiled language for developing maintainable software.
NumPy - NumPy is the fundamental package for scientific computing with Python
Crystal (programming language) - Programming language with Ruby-like syntax that compiles to efficient native code.