Page 323 - AI Ver 3.0 Class 11
P. 323
UNIT-6
MACHINE LEARNING
ALGORITHMS
Learning Outcomes
• Machine Learning in a Nutshell • Types of Machine Learning
• Regression • Correlation
• Classification • Unsupervised Learning—Clustering
• K-Means Clustering • Why is Clustering Unsupervised?
Machine learning (ML) is a subset of Artificial Intelligence that allows computers to learn and make judgments based
on data. It involves algorithms that can identify patterns, anticipate outcomes, and improve over time without being
specifically coded for specific tasks. Here's a real-world example, assume you have a personal assistant who can
foresee your wants, provide solutions, and even forecast issues before they arise. This is what machine learning can
achieve, making it a valuable tool in today's technologically advanced world.
Machine learning has the capacity to extract information from huge datasets and perform complicated operations
that transform various industries ranging from healthcare and banking to transportation and entertainment. As
researchers continue to invent and improve these algorithms, machine learning's impact on society is set to grow,
ushering in a period of extraordinary creativity and opportunity.
Machine Learning in a Nutshell
Machine learning is a subdomain of Artificial Intelligence (AI) that focuses on developing systems that learn or improve
performance based on the data they ingest. It is an application of Artificial Intelligence (AI) that enables systems to learn
and improve automatically from experience without the need for explicit programming. It focuses on the development
of computer programs that can access data and use it to learn for itself. Data is critical for machine learning to work.
The more data the machine is given (assuming that the data is reliable), the more accurate its prediction is. Artificial
Intelligence is a broad word that refers to systems or machines that resemble human intelligence. A crucial distinction
between Artificial Intelligence and Machine Learning is that all ML is AI, but not all AI is ML.
Artificial
Intelligence Intelligent machines that think
and act like human beings
Machine Systems learn things without
Learning being programmed to do so
Machine Learning Algorithms 321

