https://graphql.org/blog/2024-12-12-learn-docs-update/
Learn Documentation Update, October - November 2024 | GraphQL
learn documentationoctober novemberupdategraphql
https://imbalanced-learn.org/
Welcome to imbalanced-learn documentation!
welcome tolearn documentationimbalanced
https://givewp.com/documentation
GiveWP Plugin Documentation - Learn all about GiveWP
Find documentation on the free GiveWP WordPress donation plugin as well as the vast library of add-ons, including recurring donations.
plugin documentationlearn allgivewp
https://scikit-learn.org/
scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation
machine learning in pythonscikitdocumentation
https://scikit-learn.org/stable/metadata_routing.html
4. Metadata Routing — scikit-learn 1.8.0 documentation
This guide demonstrates how metadata can be routed and passed between objects in scikit-learn. If you are developing a scikit-learn compatible estimator or...
scikit learnmetadataroutingdocumentation
https://scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html
Principal Component Analysis (PCA) on Iris Dataset — scikit-learn 1.8.0 documentation
This example shows a well known decomposition technique known as Principal Component Analysis (PCA) on the Iris dataset. This dataset is made of 4 features:...
principal component analysisscikit learnpcairisdataset
https://learn.microsoft.com/en-us/aspnet/core/?view=aspnetcore-10.0
ASP.NET documentation | Microsoft Learn
Learn to use ASP.NET Core to create web apps and services that are fast, secure, cross-platform, and cloud-based. Browse tutorials, sample code, fundamentals,...
asp netdocumentation microsoftlearn
https://scikit-learn.org/stable/modules/covariance.html
2.6. Covariance estimation — scikit-learn 1.8.0 documentation
Many statistical problems require the estimation of a population’s covariance matrix, which can be seen as an estimation of data set scatter plot shape. Most...
scikit learncovarianceestimationdocumentation
https://scikit-learn.org/dev/developers/index.html
Developer’s Guide — scikit-learn 1.9.dev0 documentation
Contributing- Ways to contribute- New Contributors., Automated Contributions Policy, Submitting a bug report or a feature request- How to make a good bug...
scikit learnguidedocumentation
https://scikit-learn.org/stable/machine_learning_map.html
13. Choosing the right estimator — scikit-learn 1.8.0 documentation
Often the hardest part of solving a machine learning problem can be finding the right estimator for the job. Different estimators are better suited for...
the rightscikit learnchoosingestimatordocumentation
https://learn.wpvip.com/lesson/documentation/
Documentation – VIP Learn
vip learndocumentation
https://scikit-learn.org/dev/developers/tips.html
Developers’ Tips and Tricks — scikit-learn 1.9.dev0 documentation
Productivity and sanity-preserving tips: In this section we gather some useful advice and tools that may increase your quality-of-life when reviewing pull...
tips and tricksscikit learndocumentation
https://scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html
Gradient Boosting regularization — scikit-learn 1.8.0 documentation
Illustration of the effect of different regularization strategies for Gradient Boosting. The example is taken from Hastie et al 2009 1. The loss function used...
gradient boostingscikit learnregularizationdocumentation
https://learn.microsoft.com/en-us/industry/
Microsoft industry documentation and resources | Microsoft Learn
Learn about the solutions, guidance, and resources available for your industry from Microsoft, including information about the Microsoft for Healthcare,...
documentation and resourcesmicrosoft industrylearn
https://scikit-learn.org/stable/auto_examples/model_selection/plot_cv_indices.html
Visualizing cross-validation behavior in scikit-learn — scikit-learn 1.8.0 documentation
Choosing the right cross-validation object is a crucial part of fitting a model properly. There are many ways to split data into training and test sets in...
cross validationscikit learnvisualizingbehaviordocumentation
https://learn.microsoft.com/en-us/azure/digital-twins/
Azure Digital Twins documentation | Microsoft Learn
Learn how to use Azure Digital Twins to connect people, places, and things, and to build IoT solutions with spatial intelligence.
digital twinsdocumentation microsoftazurelearn
https://docs.rafay.co/learn/quickstart/ztka/overview/
Learn KOP & ZTKA - Overview - Rafay Product Documentation
Official Rafay product documentation. Explore
product documentationlearnkopoverviewrafay
https://learn.microsoft.com/en-us/cpp/?view=msvc-170
Microsoft C/C++ Documentation | Microsoft Learn
Learn how to use C++ to develop applications, services, and tools for your platforms and devices.
microsoftdocumentationlearn
https://scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge.html
Ordinary Least Squares and Ridge Regression — scikit-learn 1.8.0 documentation
Ordinary Least Squares: We illustrate how to use the ordinary least squares (OLS) model, LinearRegression, on a single feature of the diabetes dataset. We...
least squaresridge regressionscikit learnordinarydocumentation
https://scikit-learn.org/stable/auto_examples/decomposition/index.html
Decomposition — scikit-learn 1.8.0 documentation
Examples concerning the sklearn.decomposition module. Blind source separation using FastICA Comparison of LDA and PCA 2D projection of Iris dataset Faces...
scikit learndecompositiondocumentation
https://learn.microsoft.com/en-us/previous-versions/xamarin/
Xamarin documentation - Xamarin | Microsoft Learn
Xamarin lets you build native apps for Android, iOS, and macOS using .NET code and platform-specific user interfaces. Xamarin.Forms allows you to build native...
documentation microsoftxamarinlearn
https://scikit-learn.org/stable/auto_examples/index
Examples — scikit-learn 1.8.0 documentation
This is the gallery of examples that showcase how scikit-learn can be used. Some examples demonstrate the use of the API in general and some demonstrate...
scikit learnexamplesdocumentation
https://docs.rafay.co/learn/quickstart/eks/efs/workload/
Learn KOP - Deploy EFS Workload - Rafay Product Documentation
Official Rafay product documentation. Explore
product documentationlearnkopdeployefs
https://scikit-learn.org/stable/developers/contributing.html
Contributing — scikit-learn 1.8.0 documentation
This project is a community effort, shaped by a large number of contributors from across the world. For more information on the history and people behind...
scikit learncontributingdocumentation
https://learn.microsoft.com/en-us/power-platform/?WT.mc_id=webupdates_GEP_Powerplatformlearn-web-wwl
Official Microsoft Power Platform documentation - Power Platform | Microsoft Learn
Use Microsoft Power Platform to analyze data, build AI-driven agents and custom apps, automate workflows, build websites with Copilot Studio, Power BI, Power...
microsoft power platformofficialdocumentationlearn
https://scikit-learn.org/stable/modules/naive_bayes.html
1.9. Naive Bayes — scikit-learn 1.8.0 documentation
Naive Bayes methods are a set of supervised learning algorithms based on applying Bayes’ theorem with the “naive” assumption of conditional independence...
naive bayesscikit learndocumentation
https://docs.rafay.co/learn/quickstart/eks/autoscaler/setup/
Learn KOP - EKS Cluster Auto Scaler Setup - Rafay Product Documentation
Official Rafay product documentation. Explore
product documentationlearnkopekscluster
https://scikit-learn.org/stable/modules/preprocessing.html
7.3. Preprocessing data — scikit-learn 1.8.0 documentation
The sklearn.preprocessing package provides several common utility functions and transformer classes to change raw feature vectors into a representation that is...
scikit learnpreprocessingdatadocumentation
https://scikit-learn.org/stable/model_persistence.html
10. Model persistence — scikit-learn 1.8.0 documentation
Summary of model persistence methods:,,, Persistence method, Pros, Risks / Cons,,, ONNX, Serve models without a Python environment, Serving and training...
scikit learnmodelpersistencedocumentation
https://scikit-learn.org/stable/computing.html
9. Computing with scikit-learn — scikit-learn 1.8.0 documentation
Strategies to scale computationally: bigger data- Scaling with instances using out-of-core learning., Computational Performance- Prediction Latency, Prediction...
scikit learncomputingdocumentation
https://scikit-learn.org/stable/modules/classification_threshold.html
3.3. Tuning the decision threshold for class prediction — scikit-learn 1.8.0 documentation
Classification is best divided into two parts: the statistical problem of learning a model to predict, ideally, class probabilities;, the decision problem to...
the decisionscikit learntuningthresholdclass
https://docs.rafay.co/learn/quickstart/ztka/part3/
Learn KOP - Audit Logs - Rafay Product Documentation
Official Rafay product documentation. Explore
audit logsproduct documentationlearnkoprafay
https://scikit-learn.org/dev/developers/contributing.html
Contributing — scikit-learn 1.9.dev0 documentation
This project is a community effort, shaped by a large number of contributors from across the world. For more information on the history and people behind...
scikit learncontributingdocumentation
https://learn.microsoft.com/en-us/nuget/
NuGet documentation | Microsoft Learn
NuGet is the package manager for Microsoft development platforms including .NET. The NuGet client tools provide the ability to create and consume packages.
documentation microsoftnugetlearn
https://scikit-learn.org/stable/auto_examples/compose/plot_feature_union.html
Concatenating multiple feature extraction methods — scikit-learn 1.8.0 documentation
In many real-world examples, there are many ways to extract features from a dataset. Often it is beneficial to combine several methods to obtain good...
feature extractionscikit learnconcatenatingmultiplemethods