The document discusses machine learning (ML) as a subset of artificial intelligence (AI) that utilizes neural networks to simulate human cognitive functions for analyzing data. It highlights various applications of ML, such as trading automation, product recommendation, sentiment analysis, and fraud detection, along with a brief overview of different learning types. Additionally, it outlines the skill requirements for ML experts and provides average salary figures for related positions in India.

1. Machine Learning
IMPORTANT THINGS ABOUT
A subset of ML, which uses
the neural networks to analyze
different factors with a structure
that is similar to the human
neural system.
AI studies ways to build
intelligent programs and
machines that can
creatively solve problems
subset of artificial intelligence
(AI) that provides systems the
ability to automatically learn
and improve from experience
AI
ML
DL
Supervised
Learning
Reinforced
Learning
Semi-
Supervised
Learning
Unsupervised
Learning
RETRAIN THE
MODEL
DATA 3
APPLICATIONS OF ML
82%
63% 61%
74%
Quantiphi TCS Amazon Infocusp Google
1,500,000
1,000,000
500,000
0
Trading Automation
9212172602
DEVELOP MODEL
ALGORITHMS IN ML
HOW DOES ML WORK?
INPUT DATA TRAIN MODEL TEST AND ANALYSE
MODEL
GOES
LIVE
Product
Recommendation
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Image Recognition
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SKILL REQUIREMENT FOR ML EXPERTS
Statistics Probability
Data Modelling
Programming
fundamentals
Software Design &
Development
COMPANIES USING MACHINE LEARNING
Top machine learning use cases
Risk
Managment
Performance analysis
and Reporting
Average Base Salary(in INR)*
₹8,59,425
₹5,18,135
₹4,43,616
₹10,24,873
₹12,53,915
QUERY@CETPAINFOTECH.COM
*glassdoor.com