Machine Learning Overview and Foundation Mathematics

Fundamental principles of Machine Learning (ML)

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

Difference between unsupervised and supervised learning

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

Fundamental principles of Machine Learning (ML)

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

Difference between unsupervised and supervised learning

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

Linear Algebra in Machine Learning

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

Differential Calculus in Machine Learning

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

R in Machine Learning

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

caret package in R

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

ggplot2 package in R

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