Machine Learning
ICSE · Class 12 · Artificial Intelligence
Summary of Machine Learning for ICSE Class 12 Artificial Intelligence. Key concepts, important points, and chapter overview.
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Overview
Machine Learning is a subset of Artificial Intelligence in which systems learn from data and improve performance on a task without being explicitly programmed. Arthur Samuel coined the term Machine Learning in 1959 while at IBM and defined it as “the field of study that gives computers the ability t
Key Concepts
Machine Learning is a subset
Machine Learning is a subset of Artificial Intelligence where systems learn from data to improve performance on a task without explicit programming. M
Supervised learning uses labeled data
Supervised learning uses labeled data, such as a spam filter trained on emails marked spam or not spam. Unsupervised learning finds patterns in unlabe
Deep Learning is a subset
Deep Learning is a subset of Machine Learning that uses artificial neural networks with multiple hidden layers. It learns from large amounts of data a
An Artificial Neural Network is
An Artificial Neural Network is a computational model inspired by the human brain. It has an input layer, hidden layers, and an output layer. The inpu
A neuron is the basic building
A neuron is the basic building block of a neural network. It computes a weighted sum of inputs and bias using z=(Σᵢwᵢxᵢ)+b, then passes the result thr
Learning Objectives
- Understand the meaning and role of Machine Learning in Artificial Intelligence.
- Differentiate supervised learning, unsupervised learning, reinforcement learning, and generative AI.
- Explain how data helps Machine Learning models learn and improve.
- Describe the idea of Deep Learning and the role of Artificial Neural Networks.
- Understand the structure of a neuron, including weighted sum, bias, and activation.
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