Introduction to ML

ML is a branch of artificial intelligence (AI) focused on developing algorithms and statistical models that enable computers to perform tasks without explicit programming. These tasks can range from basic pattern recognition to complex decision-making processes. At its core, ML involves machines learning from data to improve the algorithms’ performance over time.

There are three primary types of ML:

• Supervised learning: This involves training a model on labeled data to predict outputs based on input data, such as regression (predicting continuous values) and classification (predicting discrete labels)
• Unsupervised learning: This involves training a model on unlabeled data to identify patterns or structures within the dataset, such as clustering (grouping similar data points) and dimensionality reduction (reducing input variables)
• Reinforcement learning: Models learn to make decisions by interacting with an environment, and receiving feedback...