Lecture Notes

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