Artificial intelligence & machine learning

Artificial intelligence and machine learning

1. Artificial Intelligence and Machine Learning - Vijay Kumar N

2. Agenda Terminology Industries Adoption Why should I Pursue Interesting Usecases Branches of Artificial Intelligence Types of Machine Learning End to End ML process Data Preprocessing Major Algorithms Regression (Linear) Logistic Regression Decision Trees Random Forest XGBoost Clustering Neural Networks

3. Agenda

4. What is AI, ML, DL and DS

5. Which Industries Adopted

6. Why should I pursue AI

7. Interesting Use Cases

8. Branches of Artificial Intelligence

9. Types of Machine Learning

10. Types of Machine Learning

11. End to End ML process

12. The Machine Learning process

13. Detailed Process

14. Data Pre-processing

15. Major Machine Learning Algorithms

16. Linear Regression Regression Analysis is used to predict the value of one variable (dependent variable) on the basis of other variables (independent variables) Linear regression models are often fitted using the least squares approach Assumptions: Linearity Homoscedasticity Non Multi-collinearity Normality