(ML) Models

Multi-layer Perceptron: Multi-layer Perceptron (MLP) is a supervised learning algorithm that learns a function f(\cdot): R^m \rightarrow R^o by training on a dataset, where m is the number of dimen...

A multilayer perceptron (MLP) is a field of artificial neural network (ANN). Learn ✓ single-layer ANN ✓ forward propagation in MLP and much more. Read on!

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Artificial neural networks are a fascinating area of study, although they can be intimidating when just getting started. There is a lot of specialized terminology used when describing the data structures and algorithms used in the field. In this post, you will get a crash course in the terminology and processes used in the field of multi-layer […]

Multilayer Perceptron is a Neural Network that learns the relationship between linear and non-linear data.

Logistic Regression is one of the basic and popular algorithms to solve a classification problem. It is named ‘Logistic Regression’ because its underlying technique is quite the same as Linear…

Logistic regression is a supervised learning algorithm used to predict a dependent categorical target variable. Learn more about logistic regressions and its applications.

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What is logistic regression? Learn how this analytics procedure can help you predict outcomes more quickly and make better decisions.

In this article, we discuss five different industries that use logistic regression to effectively improve their processes.

Logistic regression is a popular classification algorithm, and the foundation for many advanced machine learning algorithms, Let's go through logistic regression basics, its real-life applications, and learn how to implement it.