ML Zoomcamp - Module 01 (Introduction to Machine Learning)
Module 01: Introduction to Machine Learning 1.1 Introduction to Machine Learning Machine Learning (ML) is the field of study where computers learn from data to make predictions or decisions without being explicitly programmed. It powers applications like recommendation systems, fraud detection, and predictive maintenance. The concept of ML is depicted with an example of predicting the price of a car. The ML model learns from data, represented as some features such as year, mileage, among others, and the target variable, in this case, the car's price, by extracting patterns from the data. Then, the model is given new data (without the target) about cars and predicts their price (target). In summary, ML is a process of extracting patterns from data, which is of two types: - features (information about the object) and - target (property to predict for unseen objects). Therefore, new feature values are presented to the model, and it makes predictions from the lear