Classification is a core concept in data analysis andmachine learning (ML). This guide explores what classification is and how it works, explains the difference between classification and regression, and covers types of tasks, algorithms, applications, advantages, and challenges. Table of contents Wh...
A machine learningalgorithmis the method by which the AI system conducts its task, generally predicting output values from given input data. The two main processes involved with machine learning (ML) algorithms are classification and regression. AnML algorithmis a set of mathematical processes or tec...
ML.NET gives you the ability to add machine learning to .NET applications, in either online or offline scenarios. With this capability, you can make automatic predictions using the data available to your application without having to be connected to a ne
Logistic regression is widely used in ML, particularly for binary classification tasks. The sigmoid function (a type of logistic function) is often used to convert the output of any binary classification model into a probability. Although logistic regression is simple, it serves as a foundational t...
Machine Learning is an AI technique that teaches computers to learn from experience. Videos and code examples get you started with machine learning algorithms.
An ML.NET model is an object that contains transformations to perform on your input data to arrive at the predicted output. Basic The most basic model is two-dimensional linear regression, where one continuous quantity is proportional to another, as in the house price example shown previously. ...
Softmax Regression (synonyms: Multinomial Logistic, Maximum Entropy Classifier, or just Multi-class Logistic Regression) is a generalization of logistic regression that we can use for multi-class classification (under the assumption that the classes are mutually exclusive). In contrast, we use the (...
Intended for continuous data that can be assumed to follow a normal distribution, it finds key patterns in large data sets and is often used to determine how much specific factors, such as the price, influence the movement of an asset. With regression analysis, we want to predict a number,...
Learn what is fine tuning and how to fine-tune a language model to improve its performance on your specific task. Know the steps involved and the benefits of using this technique.
What is machine learning? Machine learning (ML) is a branch ofartificial intelligence (AI)focused on enabling computers and machines to imitate the way that humans learn, to perform tasks autonomously, and to improve their performance and accuracy through experience and exposure to more data. ...