Tag: math
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Linear Regression Fundamentals: Simple Linear Model, Part 2
Linear regression is a fundamental statistical technique to understand the relationship between two variables. It works on the principle of fitting a straight line through data points to model the relationship between the independent variable and the dependent variable(s).
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The Bias-Variance Trade-Off: Understanding the Balance in Models
What is the Bias-Variance Trade-Off The bias-variance tradeoff is a fundamental concept in machine learning that highlights the balance between […]
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Linear Regression Fundamentals: Bridging Theory and Practice, Part 1
Linear regression is a fundamental statistical technique to understand the relationship between two continuous variables. It works on the principle […]
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Exploring the Power of the Law of Large Numbers
What is it the Law of Large Numbers? In probability theory and statistics, the law of large numbers is a […]
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Set Theory: Understanding the Basics
Definition What is a set? One may think of a set as a collection of objects. These objects can be […]
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An Introduction to Basic Probability
Definition and importance of Probability What is probability? Generally, the term probability is a measure of one’s belief in the […]