Machine Learning Archives

Introducing the Half type!

Prashanth GovindarajanAugust 31, 2020Aug 31, 202008/31/20

The IEEE 754 specification defines many floating point types, including: binary16, binary32, binary64 and binary128. Most developers are familiar with binary32 (equivalent to float in C#) and binary64 (equivalent to double in C#). They provide a standard format to represent a wide range of values with a precision acceptable for many ...

August ML.NET API and Tooling Updates

Bri AchtmanAugust 20, 2020Aug 20, 202008/20/20

ML.NET is an open-source, cross-platform machine learning framework for .NET developers. It enables integrating machine learning into your .NET apps without requiring you to leave the .NET ecosystem or even have a background in ML or data science. ML.NET provides tooling (Model Builder UI in Visual Studio and the cross platform ML.NET CLI) ...

February ML.NET Model Builder Updates

Bri AchtmanMarch 2, 2020Mar 2, 202003/2/20

With the ML.NET Model Builder, create custom machine learning models for scenarios like sentiment analysis, price prediction, and more without any machine learning experience and without leaving the .NET ecosystem!

An Introduction to DataFrame

Prashanth GovindarajanDecember 16, 2019Dec 16, 201912/16/19

Last month, we announced .NET support for Jupyter notebooks, and showed how to use them to work with .NET for Apache Spark and ML.NET. Today, we're announcing the preview of a DataFrame type for .NET to make data exploration easy. If you've used Python to manipulate data in notebooks, you'll already be familiar with the concept of a DataFrame...

Announcing ML.NET 1.4 general availability (Machine Learning for .NET)

Cesar De la TorreNovember 6, 2019Nov 6, 201911/6/19

Coinciding with the Microsoft Ignite 2019 conference, we are thrilled to announce the GA release of ML.NET 1.4 and updates to Model Builder in Visual Studio, with exciting new machine learning features that will allow you to innovate your .NET applications. ML.NET is an open-source and cross-platform machine learning framework for .NET ...

ML.NET and Model Builder at .NET Conf 2019 (Machine Learning for .NET)

Cesar De la TorreSeptember 24, 2019Sep 24, 201909/24/19

We are excited today to announce updates to Model Builder and improvements in ML.NET. You can learn more in the “What’s new in ML.NET?.” session at .NET Conf. ML.NET is an open-source and cross-platform machine learning framework (Windows, Linux, macOS) for .NET developers. ML.NET offers Model Builder Model Builder (a simple UI tool) ...

Announcing ML.NET 1.4 Preview and Model Builder updates (Machine Learning for .NET)

Cesar De la TorreSeptember 3, 2019Sep 3, 201909/3/19

We are excited to announce ML.NET 1.4 Preview and updates to Model Builder and CLI. ML.NET is an open-source and cross-platform machine learning framework for .NET developers. ML.NET also includes Model Builder (a simple UI tool) and CLI to make it super easy to build custom Machine Learning (ML) models using Automated Machine ...

Hey .NET! Have you tried ML.NET?

Bri AchtmanAugust 21, 2019Aug 21, 201908/21/19

ML.NET is an open source and cross-platform machine learning framework made for .NET developers. Using ML.NET you can easily build custom machine learning models for scenarios like sentiment analysis, price prediction, sales forecasting, recommendation, image classification, and more. ML.NET 1.0 was released at //Build 2019, and since then ...

Announcing F# 4.6

Phillip CarterMarch 29, 2019Mar 29, 201903/29/19

We're excited to announce general availability of F# 4.6 and the F# tools for Visual Studio 2019! In this post, I'll show you how to get started, explain the F# 4.6 feature set, give you an update on the F# tools for Visual Studio, and talk about what we're doing next. F# 4.6 was developed entirely via an open RFC (requests for comments) ...

Submit to the Applied F# Challenge!

Phillip CarterFebruary 5, 2019Feb 5, 201902/5/19

This post was written by Lena Hall, a Senior Cloud Developer Advocate at Microsoft. F# Software Foundation has recently announced their new initiative — Applied F# Challenge! We encourage you to participate and send your submissions about F# on Azure through the participation form. Applied F# Challenge is a new initiative to ...

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