Applied Data Science
Sonpvh, 2022
1
1. Introduction
2. Application
3. EDA
4. Learning Process
5. Bias –Variance TradeOff
6. Regression
7. Classification
8. Validation
9. Regularization
10. Clustering
11. Evaluation
12. Deployment
13. Ethics
2
CURRENT
BUSINESS
INDUSTRY 4.0
DIGITAL
TRANSFORMATION
PROCESS
3
PEOPLE THINK AI WILL
DESTROY THE WORLD,
AND ACTUAL IS …
“87% of data science projects
never make it into production”
VentureBeat AI, 2019
[4]
“85% of big data projects fail”
Gartner, 2017 [5]
“Through 2022, only 20% of analytic
insights will deliver business
outcomes”
Gartner, 2019 [6]
4
LACK OF TALENTs
WRONG PROCESS
ADAPTAPILITY
