Artificial Intelligence

What is Machine Learning?

A subset of AI that trains systems to learn from data and make decisions or predictions based on trends.

Types of Machine Learning

Four types: Supervised Learning, Unsupervised Learning, Reinforced Learning, Transfer Learning.

Supervised Learning

A task-driven approach where the system is trained on labelled data to identify images or determine values.

Who trains the system in Supervised Learning?

A human trains and tests the machine using labelled data.

What does Supervised Learning aim to achieve?

It aims to identify patterns or evaluate values based on the training from labelled data.

Unsupervised Learning

A data-driven machine learning approach that uses deep learning to find patterns in unlabeled data, identifying clusters and creating its own algorithms to interpret new incoming data.

Reinforcement Learning

A learning method that uses trial and error with rewards and punishments to seek maximum rewards, exemplified by a self-driving car optimizing its driving behavior.

Transfer Learning

A machine learning method that utilizes a pre-trained neural network on a large dataset to retain knowledge for future tasks, allowing for small adjustments to be made for new tasks.

Neural Network

A type of machine learning algorithm that mimics the structure and function of the brain, enabling AI systems to learn and process complex data.

Generative AI

An AI type that creates new content, such as images, text, or music, by learning patterns from training data.

Artificial General Intelligence (AGI)

AI that incorporates human-like behaviors, enabling it to perform tasks at a level comparable to human intelligence.

Artificial Narrow Intelligence (ANI)

AI that specializes in a single area, solving very specific problems, such as chatbots or virtual assistants.

Hallucinations

AI outputs that deviate from factual and contextual logic, leading to incorrect information or reasoning.

Classification AI

Analyzes data and makes predictions, such as recognizing and classifying images of trees and flowers.

Generative AI

Creates new content like images, text, and music, learning patterns from training data to generate new content.