3MDC2-13.1

Understand the basic concept of pattern recognition, probability distribution, regression and its types.

3MDC2-13.2

Apply procedures for error minimization and linear programming algorithms for pattern recognition.

3MDC2-13.3

Apply k-means, fuzzy, and hierarchical clustering methods for unsupervised learning

3MDC2-13.4

Analyze back propagation, training methods and deep learning for neural networks

3MDC2-13.5

Differentiate among types of classifiers for algorithm independent machine learning.

COs

PO 1

PO 2

PO 3

PSO 1

PSO 2

3MDC2-13.1

3

1

2

3

1

3MDC2-13.2

3

1

2

3

2

3MDC2-13.3

3

1

2

3

2

3MDC2-13.4

3

1

2

3

1

3MDC2-13.5

3

1

2

3

2

3MDC2-13

3

1

2

3

2