AI

AI
Deep Learning
Neural Networks
Predictive Analytics
Regression techniques
Linear regression model
Discrete choice models
Logistic regression
Multinomial logistic regression
Probit regression
Time series models
Survival or duration analysis
Classification and regression trees (CART)
Multivariate adaptive regression splines
(MARS)
Machine learning techniques
Neural networks
Multilayer perceptron (MLP)
Radial basis functions
Support vector machines
Naïve Bayes
k-nearest neighbours (KNN)
Geospatial predictive modeling
Speech Recognition
Expert Systems
Robotics: Motion and
Manipulation
Social Intelligence
Natural Language Processing
(NLP)
Perception: Computer Vision
Planning and scheduling
Knowledge Representation
Deduction, Reasoning, Problem
Solving
Machine Learning (ML)
Supervised Learning
Regression e.g
Linear
Polynomial
Classification e.g
KNN
Decision Trees
Random Forests
Linear classifiers e.g
Naive-Bayes
Logistic Regresion
Perceptron
Fisher's linear discriminant
Support Vector Machines (SVM)
Least squares support vector machines
other related topics
Inductive Logic Programming (ILP)
Association Rule Learning
Unsupervised Learning
Clustering e.g
k-means
k-medians
hierarchical clustering
Non Clustering
Reinforcement Learning
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