AI and Machine Learning Comprehensive Assignment Notes

Combining Machine Learning and Artificial
Intelligence
Introduction




Artificial Intelligence (AI) and Machine Learning (ML) are two of the most significant
technological advancements of the modern era. They have transformed the way people interact
with computers and digital systems. AI enables machines to perform tasks that normally require
human intelligence, while Machine Learning allows systems to learn from data and improve their
performance without being explicitly programmed.

What is Artificial Intelligence?
Artificial Intelligence (AI) is a branch of computer science focused on creating intelligent
machines capable of performing tasks such as problem-solving, decision-making, language
understanding, and visual recognition. AI systems are designed to mimic certain aspects of
human thinking and behavior.
Examples of AI
 Virtual assistants such as Siri and Google Assistant
 Autonomous (self-driving) vehicles
 AI-powered chatbots
 Recommendation systems used by online platforms

, What is Machine Learning?
Machine Learning (ML) is a subset of Artificial Intelligence. It enables computers to learn
from data and identify patterns without being explicitly programmed. Instead of following fixed,
machine learning models improve their accuracy through experience and data analysis.




Types of Machine Learning
Supervised Learning
In supervised learning, the model is trained using labeled data. The system learns from examples
and predicts outcomes for new data.
Examples:
 Spam email detection
 House price prediction

2. Unsupervised Learning
In unsupervised learning, the model uses unlabeled data to discover hidden patterns or
relationships.
Examples:
 Customer segmentation
 Market analysis