What is AI/ML?
ML is a type of computer technology that allows software to improve its performance automatically by learning from data without being explicitly programmed. It is a way of teaching computers to recognize patterns and make predictions based on examples. In simple terms, ML is a way for computers to learn from data and make predictions or decisions. There are several types of ML, each with its unique characteristics and use cases. The main types of ML include:
- Supervised Learning: Supervised learning is the most widespread form of ML, involving training a model on a labeled dataset to predict the output for new, unseen data. Linear regression, logistic regression, and decision trees are some examples of supervised learning algorithms.
- Unsupervised Learning: Unsupervised learning, on the other hand, does not use labeled data and instead discovers patterns and structures in the input data. Examples of unsupervised learning algorithms include clustering...