Subject Details
Dept     : CIVIL
Sem      : 4
Regul    : 2019
Faculty : Priya R
phone  : NIL
E-mail  : priya.r.civil@snsct.org
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Lecture Notes

UNIT 1:
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Introduction to Machine Learning, Objectives and importance in Civil Engineering
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Linear Algebra
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Linear Algebra
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Probability theory
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Probability Distribution
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Statistical Decision theory
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Bias Variance and convex optimization
UNIT 2:
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Linear regression
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Gaussian Process regression
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Soil Contaminant Characterization
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Neural network
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Parameter Estimation & Back propagation
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Regularization
UNIT 3:
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Bayesian Networks
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State Space models
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Model Calibration
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Clustering and Dimension Reduction
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K means
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Principal component Analysis
UNIT 4:
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Introduction, Decisions
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Utility theory and Utility Function
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Value of Information
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Sequential Decisions
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Decision process
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Model free decision process
UNIT 5:
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MATLAB
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Machine learning support in MATLAB
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Tensor flow
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Python Machine Learning
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WEKA tools
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Case study in civil engineering using machine learning theory