• Machine Learning Glossary

  Machine learning is a complex and rapidly-evolving field that involves a variety of technical terms and concepts. For those new to the field, it can be overwhelming to navigate through the jargon and understand the various terms used in machine learning. In this article, we'll provide a glossary of some of the most common terms used in machine learning, along with brief explanations to help you understand them. Artificial Intelligence (AI): The field of computer science concerned with creatinFew readers

• Glossary of Regression

  Here is a glossary of some common terms used in regression machine learning: Regression: A type of machine learning problem where the goal is to predict a continuous value for a given input. Linear Regression: A regression model that assumes a linear relationship between the input variables and the output variable. Polynomial Regression: A type of regression model that fits a polynomial curve to the data, allowing for nonlinear relationships between the input variables and the output vaFew readers

• Glossary of Classification Models

  Here is a glossary of some common terms used in classification machine learning: Classification: A type of machine learning problem where the goal is to predict a discrete class or category for a given input. Binary Classification: A type of classification where the goal is to predict one of two possible classes or outcomes. Titanic Binary Classification on NextBrain Multiclass Classification: A typFew readers