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An introduction to fundamental principles of probability and statistics, covering key concepts such as random variables, probability distributions, expectation, variance, and common statistical measures.
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Greetings, fellow cultivators. Welcome to this humble online dao temple. The path of cultivation is long and arduous, may you all maintain your dao heart, diligently practice without cease, and one day achieve immortality and become ancestors.
Here, this humble one shares some insights about the Great Dao, hoping to provide some assistance to you all on your cultivation journey.
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KNN is a simple yet powerful algorithm used for classification and regression tasks in machine learning. This article provides an overview of the KNN algorithm, its working principles, and practical applications.- Published on
This article introduces the common notations used in machine learning, including vectors, matrices, datasets, and functions.- Published on
Linear regression is a fundamental algorithm in machine learning used for predicting continuous outcomes. This article provides an in-depth understanding of linear regression, including its mathematical formulation, assumptions, and practical applications.- Published on
A set of photos of tasty food.