From ce5b23a54011a24d8ff94eb8a9e286e838d6a260 Mon Sep 17 00:00:00 2001 From: deanna-cs <59544150+deanna-cs@users.noreply.github.com> Date: Tue, 4 Feb 2020 17:26:36 -0500 Subject: [PATCH] Fix typos in README.md (#4685) * Fix typos * Revise sentence structure and add commas --- README.md | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index ed9a83c368..440d34074d 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ ML.NET allows .NET developers to develop/train their own models and infuse custo ML.NET was originally developed in Microsoft Research and evolved into a Microsoft internal framework over the last decade being used across many product groups in Microsoft like Windows, Bing, PowerPoint, Excel and more. -ML.NET enables machine learning tasks like classification (for example: support text classification, sentiment analysis), regression (for example, price-prediction) and many other ML tasks such as anomaly detection, time-series-forecast, clustering, ranking, etc. +ML.NET enables machine learning tasks like classification (for example, support text classification, sentiment analysis), regression (for example, price-prediction), and many other ML tasks such as anomaly detection, time-series-forecast, clustering, ranking, etc. ML.NET also brings .NET APIs for training models, using models for predictions, as well as the core components of this framework such as learning algorithms, transforms, and ML data structures. @@ -28,13 +28,12 @@ See the [API Reference documentation](https://docs.microsoft.com/en-us/dotnet/ap We have a GitHub repo with [ML.NET sample apps](https://github.com/dotnet/machinelearning-samples) with many scenarios such as Sentiment analysis, Fraud detection, Product Recommender, Price Prediction, Anomaly Detection, Image Classification, Object Detection and many more. -In addition to the ML.NET samples provided by Microsoft, we're also highlighting many more samples created by the community showcased in this separated page [ML.NET Community Samples](https://github.com/dotnet/machinelearning-samples/blob/master/docs/COMMUNITY-SAMPLES.md) +In addition to the ML.NET samples provided by Microsoft, we're also highlighting many more samples created by the community showcased in this separate page [ML.NET Community Samples](https://github.com/dotnet/machinelearning-samples/blob/master/docs/COMMUNITY-SAMPLES.md) ## ML.NET videos playlist at YouTube -There a list of short videos each one focusing on a particular single topic of ML.NET at the [ML.NET videos playlist](https://aka.ms/mlnetyoutube) in YouTube. - +The [ML.NET videos playlist](https://aka.ms/mlnetyoutube) on YouTube contains several short videos. Each video focuses on a particular topic of ML.NET. ## Operating systems and processor architectures supported by ML.NET @@ -64,7 +63,7 @@ or from the NuGet package manager: Install-Package Microsoft.ML ``` -Or alternatively, you can add the Microsoft.ML package from within Visual Studio's NuGet package manager or via [Paket](https://github.com/fsprojects/Paket). +Alternatively, you can add the Microsoft.ML package from within Visual Studio's NuGet package manager or via [Paket](https://github.com/fsprojects/Paket). Daily NuGet builds of the project are also available in our Azure DevOps feed: