Based on our record, Scikit-learn should be more popular than Hack. 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.
PHP results: Is Hack still popular with PHP people? I was stupid enough to write some scientific code in PHP once so know how slow it can be. But if your going to do try write performant code in PHP use the HHVM interpreter. It's much faster. Hack (https://hacklang.org/) uses that under the hood by default. - Source: Hacker News / 4 months ago
Meta: hacklang.org has the details there. It forked off of PHP ~5 years ago, and is no longer backwards compatible. I believe this is also what Slack uses. Source: 11 months ago
Facebook literally created Hack because PHP wasn't meeting their needs at the time. Source: about 1 year ago
Well, yeah, since they generally don't kill popular projects. Hell hack is still getting updates even though no one ever gave a shit about it. Meanwhile Flutter can be cancelled tomorrow because another division made Clutter and they have more "political" pull at google... Source: over 1 year ago
They actually create/use Hack. Haxe is something else. Source: almost 2 years ago
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 / 2 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 / 11 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: 12 months 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: 12 months 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: about 1 year ago
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