Machine Learning 1 : UNIT 1(B) PPTs: The Machine Learning Landscape PPTs

 

Unit I (B)

The Machine Learning Landscape

1.     Main Challenges of Machine Learning

2.     Insufficient Quantity of Training Data

3.     Nonrepresentative Training Data

4.     Poor-Quality Data

5.     Irrelevant Features

6.     Overfitting the Training Data

7.     Underfitting the Training Data

8.     Stepping Back

9.     Testing and Validating

 

Machine Learning 1: UNIT-1(B) NOTES: The Machine Learning Landscape NOTEs

                                                                                     Unit I (B)

The Machine Learning Landscape

1.     7.     Main Challenges of Machine Learning
8.     Insufficient Quantity of Training Data
9.     Nonrepresentative Training Data
10.  Poor-Quality Data
11.  Irrelevant Features
12.  Overfitting the Training Data
13.  Underfitting the Training Data
14.  Stepping Back
15.  Testing and Validating