Lecture Notes || SNS Courseware

Subject Details

Dept : AIML

Sem : 5

Regul : 2019

Faculty : Mr.A.Stephan Rufus

phone : NIL

E-mail : srufus.a.aiml@snsct.org

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Lecture Notes

UNIT 1:

Data Science Life Cycle, Tools, Applications

Big Data Types, Characteristics, Tools and Applications

UNIT 2:

Data pre-processing: Error Types Error Handling

Data Transformation

Filtering

Multidimensional Scaling

Data Merging; Data visualization: Diagrams

UNIT 3:

Radial Basis Function Networks

Correlation: Linear Correlation

Regression: Linear Regression

UNIT 4:

Linear Discriminant Analysis

Classification Criteria, Naive Bayes‘ Classifier

Support Vector Machine

Cluster Validity, Self-Organizing Maps

Learning Vector Quantization, Decision Tree

Nearest Neighbor Classifier

Lecture Notes