Lecture Notes || SNS Courseware

Subject Details

Dept : CIVIL

Sem : 4

Regul : 2019

Faculty : Muthukeerthana S

phone : NIL

E-mail : mkeerthana.s.dt@snsgroups.com

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Lecture Notes

UNIT 1:

Linear Algebra

Probability theory

Probability Distribution

Statistical Decision theory

UNIT 2:

Regression

Linear regression

Gaussian Process regression

Neural network – Parameter Estimation & Back propagation – Regularization

Soil Contaminant Characterization

UNIT 3:

Clustering

Principal component Analysis

Model Calibration

Principal component Analysis

K- Means

UNIT 4:

Introduction

Decision theory

Reinforcement Learning Applications

Reinforcement Learning Real world examples

UNIT 5:

MAT LAB

PYTHON MACHINE LEARNING

TENSOR FLOW

WEKA TOOLS

Lecture Notes