Machine Learning for Civil Engineers
Machine Learning for Civil Engineers
Introduction
Overview
Prediction Engines
Classification Engines
Transferring Data Files
File Systems
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Supervised Learning
Unsupervised Learning
Reinforcement Learning
Exploratory Data Analysis
Common Data Types
Downloading Remote Data
Exploratory Analysis using Data Summaries
Exploratory Analysis using Visual Summaries
Probability Distributions
Optimization Modeling
Scheduling Example
Grid Search Methods
Gradient Descent Methods
Linear Regression
Non-Linear Regression
Logistic Regression
K Nearest Neigbor Classification
Decision Trees and Random Forests
Neural Networks
Deep Learners
Artifical Neural Network (Homebrew)
Artificial Neural Network using packages
Artifical Neural Network
Validation
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