【ML】Machine learning model

What are machine learning models?

A machine learning model is a file that has been trained to recognize certain types of patterns. You train a model over a set of data, providing it an algorithm that it can use to reason over and learn from those data.

Types of machine learning models

1. Binary classification model

Predict one of two possible outcomes.

Logistic regression

Examples:

  "Is this email spam or not spam?"

  "Will the customer buy this product?"

2. Multiclass classification model

Predict one of more than two outcomes.

Multinomial logistic regression

Example:

  "Is this product a book, movie, or clothing?"

  "Is this movie a romantic comedy, documentary, or thriller?"

3. Regression model

Predict a numeric value.

Linear regression

Example:

  "What will the temperature be in Seattle tomorrow?"

  "For this product, how many units will sell?"

Reference:

https://docs.aws.amazon.com/machine-learning/latest/dg/types-of-ml-models.html