Machine Learning Exercise with Maths

Machine learning is a branch of artificial intelligence that enables machines to learn from data and make predictions without being explicitly programmed. One common machine learning technique is polynomial regression, which is used to model relationships between variables that are not linear.

Polynomial Regression

Polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable y is modelled as an nth degree polynomial. This allows us to capture non-linear relationships between variables and make better predictions.

The general equation for polynomial regression is:

y = a + bx + cx^2 + … + nx^n

where y is the dependent variable, x is the independent variable, and a, b, c, …, n are the coefficients of the polynomial. By fitting a polynomial curve to the data, we can make predictions about the relationship between the variables.

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By learning about machine learning exercises like polynomial regression with maths, individuals can gain a better understanding of how AI works and how it can be used to solve problems in various fields. Whether you are a student, a professional, or just someone interested in AI, AI Asaan Hai can help you get started with machine learning.