Page 194 - AI Computer 10

u Unsupervised Learning

Unsupervised Learning is a type of machine learning that involves receiving an unlabelled training dataset
and discovering patterns and insights without any human guidance.

u Reinforcement Learning
Reinforcement Learning is a type of machine learning where a model interacts with the environment
through a sequence of decisions, receives feedback on the actions in form of rewards or penalties, and
learns from the feedback.
u Classification
Classification models are a type of supervised learning which helps in separating the data into distinct
discrete values or labels.
u Regression
Regression is the process of finding a model or function for differentiating the data into continuous values
rather than discrete values.
u Clustering

Clustering is a type of unsupervised learning algorithms which take unlabelled dataset and groups the data
items clusters based on similarities or patterns.
u Association
Association model is a type of unsupervised learning that involves discovering interesting relationships
between variables in large datasets.

u Artificial Neural Network
An Artificial Neural Network (ANN) can be defined as a computing system made up of simple, highly
interconnected processing elements that process information by their dynamic state response to external
inputs.
u Convolutional Neural Network
A Convolutional Neural Network (CNN) is a multilayer, feed-forward neural network that uses perceptrons
for supervised learning and data analysis.
u Neural Network

A neural network is a series of algorithms that depicts the relationships in a set of data through a process
that mimics the way the human brain operates.
u Perceptron
A perceptron is the simplest type of artificial neural network and serves as the fundamental building block
for machine learning models.

In a Nutshell
In a Nutshell

● AI is an approach to make a computer, a robot, or a device to think and act smart, similar to how humans.

● Machine learning is a subset of AI that makes the system able to learn automatically from past experience
or past information.

● Machine Learning covers a wide range of applications, including object classification and anomaly detection.
● Deep Learning or deep neural learning is the most advanced form of AI that uses neural networks with many
layers to analyse various forms of data.

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