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In this video on Data Science vs Machine Learning, we’ll be discussing the importance of Data Science and Machine Learning and we’ll compare them based on a few key parameters. The following topics are covered in this session:
What Is Data Science?
What Is Machine Learning?
Fields Of Data Science
Use Case
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Agenda
01
What Is Data
Science?
02
What Is Machine
Learning?
Use Case
0403
Fields Of Data
Science
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What Is Data Science?
Data Science is the process of extracting useful insights from data by using a variety of tools,
algorithms and Machine Learning fundamentals.
Programming + Statistics + Business
Data Science Domains
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What Is Machine Learning?
Machine learning is a subset of Data Science which provides machines the ability to learn automatically & improve
from experience without being explicitly programmed.
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Fields Of Data Science
Data Science
Artificial
Intelligence
Machine
Learning
Deep
Learning
•Data science is the extraction of knowledge from data
by using different techniques and algorithms
•Artificial Intelligence is a technique which enables
machines to mimic human behaviour
•Machine Learning is a subset of AI technique which
uses statistical methods to enable machines to improve
with experience
•Deep learning is a subset of ML which make the
computation of multi-layer neural network feasible
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Data Science
01
02
03
04
05
06
Business Requirements
Data Acquisition
Data Processing
Data Exploration
Modelling
Optimization
• User ratings
• Comments
• Cart history
• Missing values
• Fake reviews
• Unnecessary data
• Understand patterns
• Retrieve useful
insights
• Find optimal features
• Build and evaluate
Machine Learning model
Monitor the performance
of the model
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Machine Learning
Modelling
Import Data
Data Cleaning Train Model Improve Efficiency
Test ModelBuild Model