This infographics is about Machine Learning. It consists of topics like the application of Machine Learning, algorithms, its work, skills requirements to become Machine Learning professionals, companies using Machine Learning, etc.
ICT Role in 21st Century Education & its Challenges.pptx
Important Things About Machine Learning
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
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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