AI ML.NET

In Build 2018, Microsoft introduced the preview of ML.NET (Machine Learning .NET) which is a cross-platform, open-source Machine Learning Framework. Yes, now it is easy to develop our own Machine Learning application or develop custom modules using Machine Learning Framework. ML.NET is a Machine Learning framework that was mainly developed for .NET developers. We can use C# or F# to develop ML.NET applications. ML.NET is open source and cross-platform and can run on Windows, Linux, and macOS. ML.NET is still in development and now we can use the preview version to work and play with ML.NET.

Web3, or Web 3.0, is the next generation of the Web. Tim Barners-Lee called it the Semantic Web. Co-founder of Ethereum, Gavin Wood, who believes decentralized technologies will be the next generation of the Web, coined the term Web3 in 2014. And recently, Elon Musk asked on Twitter if anyone has seen web3. Twitter founder Jack Dorsey replied, "Its somewhere between a and z."

The metaverse is a new buzzword that everyone is talking about today. If you pay attention to any trending technologies, Im sure you have heard of the metaverse by now. Some experts are calling it the next internet or the next computing technology. What is this metaverse? Why is it a hot topic today? How will the metaverse change the computing world? What role will the metaverse play in the future? Lets get all these answers right here, right now.

ML.NET Model builder makes our work easier while developing an ML.NET application. It helps build, train and deploy the models more easily for all kinds of ML .NET supporting models, as well us helps us develop the custom models. If you are new to ML.NET, please read my previous articles related to ML.NET. The latest version of ML.NET is also established to develop easy custom ML using AutoML and with ML.NET Model builders.

ML.NET is an opensource and cross-platform machine learning framework supported on Windows, Linux and macOS developed by Microsoft. ML.NET is specially built for .Net developers to let you re-use all the knowledge, skills, code and libraries you already have as a .NET developer so that you can easily integrate ML into your existing Web, Mobile, Desktop, Gaming and IoT apps.