A Beginner's Guide to Machine Learning Terminology

Before diving into fine-tuning, let's explore some key AI terminology and get an understanding of what "Machine Learning" actually entails, a term you may have heard about before.

Artificial Intelligence (AI) is the implementation of human learning, reasoning, and problem-solving abilities within computer programs, essentially mimicking intelligent human behavior.

Artificial Intelligence branches into various domains such as Natural Language Processing, which understands and interacts with human language, and Computer Vision, which analyzes and understands visual data.

To analyze the patterns in input data and generate appropriate responses, AI requires a data learning process, for which Machine Learning is one of the most commonly used methods.

Machine Learning is the process of analyzing data and learning patterns from that data to create models that can make predictions or decisions on new data.

Machine Learning is primarily executed through methods like Supervised Learning, Unsupervised Learning, and Reinforcement Learning.

Supervised Learning is a method where input data and the corresponding correct answers are provided, allowing the AI model (a program that analyzes and learns from data to perform specific tasks) to learn and predict new data.

For example, by using information about email content and whether the email is spam or not, you can train a model to predict whether new emails are spam.

Unsupervised Learning is a method of discovering the structure or patterns in data without predefined correct answers. For instance, you can perform customer segmentation based on purchase data to group customers with similar buying patterns, using unsupervised learning.

Reinforcement Learning is a method that involves learning behaviors that maximize rewards through trial and error. For example, when a robot learns to navigate out of a maze, it receives rewards for finding the correct path and penalties for taking wrong turns, thus learning the optimal route.

In the next lesson, we will explore another frequently mentioned AI term, Deep Learning.