Infer.NET is an open source library that can be used to create probabilistic programming systems. We can use Infer.NET to solve many different kinds of machine learning problems, such as classification, recommendation, and so on. In this article, I am going to introduce how to use the infer.NET library in Visual Studio 2017 Community. Infer.NET supports both C# and F#, and I am going to use C# in this article.
In Machine Learning, vectors can be used as a good way to represent numeric data. When using vectors, we can meet the following basic operations:
In this article, I will introduce basic operations on vector objects by using TensorFlow library.
Most of the common Machine Learning (ML) libraries are written in Python and it is not so easy for .NET developers. The ML.NET library occurs as a bridge between ML libraries and .NET applications.
ML.NET is an open source library that can be used directly in .NET applications. In this article, I am going to introduce how to use the ML.NET library in Visual Studio 2017 (I am using VS 2017 Community).
The decision tree is one of the most commonly used classification techniques. One of the best things about decision trees is that humans can easily understand the data. You can read more here.
After installing Anaconda, we start to write some Python code in the Anaconda prompt. The following line of code is used to display a text message (such as Hello World) to the screen in the Python 3.6.4:
How to execute this line of code in the Anaconda prompt? Here is solution:
The result can look like the following screenshot:
If I want to execute more than one code of line at a time as follows:
print ("My name is Ngoc Minh")
Kotlin is a modern language for Android developers. I am learning Kotlin for my job and I have also shared some articles to DZone community. If you are also excited about Kotlin like me, you could begin with the following steps: