Machine Learning Overview and Foundation Mathematics

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7 Terms

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Fundamental principles of Machine Learning (ML)

To identify patterns in data, improve predictions over time, and make decisions based on data.

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Difference between unsupervised and supervised learning

Supervised learning uses labeled data for training, while unsupervised learning works with unlabeled data to find patterns.

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Linear Algebra in Machine Learning

Linear algebra is used for representation of data, transformation, and operations on vectors and matrices.

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Differential Calculus in Machine Learning

Differential calculus is used for optimization techniques such as gradient descent to minimize loss functions.

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R in Machine Learning

R is a programming language used for statistical computing and graphics, widely used in data analysis.

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caret package in R

The 'caret' package streamlines the modeling process by providing a consistent interface for various machine learning algorithms.

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ggplot2 package in R

The 'ggplot2' package is used for data visualization, allowing users to create complex graphics based on the grammar of graphics.