DS161 Introduction to Data Science & Artificial Intelligence
Lecture 6
Introduction to Data Science: Data to Decisions
Krishnendu Ghosh
What is Data Science?
What is Data Science?
What is Data Science?
What is Data Science?
Data Science: Year 2050
Data Science: Year 2050
Data Science: Year 2050
Data Science: Year 2050
What is Data Analysis?
What does "Data" mean?
DIKW Pyramid
DIKW Pyramid
Example: Fitness Tracking
Example: Financial Planning
Rectangular Data
Types of Variables
Dependent vs Independent Variables
Experimental Data
Some tasks machines are better at
Some tasks machines are better at
Some tasks machines are better at
What is Machine Learning?
Data in ML
Structured vs Unstructured data
Labelled vs Unlabelled data
What is Machine Learning?
What is Machine Learning?
What is Machine Learning?
What is Learning?
Let's Define a "Tree"
Let's Define a "Tree"
Are these Trees?
Learning “What are Trees” is ‘Easy’
Defining is Hard; Recognizing is Easy
Example: Credit Approval
Examples
Learning from Data
Example
Learning from Data
Learning from Data
What is Machine Learning?
Machine Learning Workflow
ML phases
ML phases (cont.)
Data
Example: Census Data
Inconsistencies in data
Inconsistencies in data (cont.)
Inconsistencies in data (cont.)
Summary
What is DS?
What differentiate DS from ML?
Difference between DS and AI
Difference between DS and AI
Difference between DS and AI
Applications of DS
Applications of DS
Applications of DS
Applications of DS
Applications of DS
How Data Science Helps Society:
Healthcare
How Data Science Helps Society:
Conservation
How Data Science Helps Society:
Education
How Data Science Helps
Economy and Industry
How Data Science Helps
Economy and Industry
How Data Science Helps
Economy and Industry
Impact of AI Technology
on Everyday Life