What is Machine Learning?

The Paradigm Shift

In traditional programming, you give the computer Rules and Data, and it outputs Answers. In machine learning, you give the computer Answers and Data, and it figures out the Rules.

Types of Data

• Structured Data: Tabular data (Excel, SQL). Rows are observations, columns are features. e.g., Age, Salary, Clicks.
• Unstructured Data: Images, Audio, Text. Doesn't fit neatly into rows/columns. Requires Deep Learning (Neural Networks).

The Two Main Categories

1. Supervised Learning: You have labeled data. (e.g., A list of houses with their prices). The model learns to map Features (X) to Labels (y).
2. Unsupervised Learning: You have unlabeled data. (e.g., Customer purchase history). The model tries to find hidden patterns or group them.

Note: QuraLabz focuses on Structured Data and Supervised/Unsupervised algorithms using math and NumPy.