Page 185 - AI Ver 3.0 class 10_Flipbook
P. 185
What are Labels? Labels
The process of assigning a meaningful name to a category of data (features)
is known as data labelling. It can easily be identified as column heading. Car Type Colour Price
These labels help to clarify what the data represents. For example, 'Car Type'
Sedan Silver 12 Lac
indicates the category to which a car belongs, such as Sedan, MUV, or SUV.
MUV Black 17 Lac
Labelled Data SUV Red 30 Lac
Marked or tagged data, which easily identifiable is called labelled data. For example, name, type, colour, etc.
Unlabelled Data
Data that is not marked/tagged is called unlabelled data. It is also known as the raw form of data.
Labelled Data Unlabelled Data
Apple Orange Banana
What do you mean by a Training Dataset?
A collection of data provided to a machine learning model to help it analyse and learn patterns is called training
data. Just like how a teacher explains any concept to students through examples and illustrations, helping them
understand and solve similar problems. Similarly, a set of labelled data (features and their corresponding labels) is
used to train the AI model, teaching it how to make accurate predictions or decisions.
What do you mean by a Testing Dataset?
The testing data set is a collection of data provided to a machine learning model to evaluate how well it has
learned to make predictions. Just like how a teacher gives a test to students after teaching a concept to assess their
understanding and identify any gaps. Similarly, a set of labelled data that the model has not seen before is used to
test its performance, ensuring it can make accurate predictions or decisions on new, unseen data.
Modelling
AI Modelling refers to developing algorithms, also called models which can be trained to get intelligent outputs.
That is, writing codes to make a machine artificially intelligent. The model is trained using data.
There are mainly two types of AI models:
AI Model
Learning-based Rule-based
Machine Learning Deep Learning
Supervised Unsupervised Reinforcement Artificial Neural Convolutional
Learning Learning Learning Network Neural Network
Advanced Concepts of Modeling in AI 183

