Main TextBooks:
- Data Mining and Analysis: Fundamental Concepts and Algorithms by Mohammed J. Zaki and Wagner Meira Jr. (Data Mining & Analysis) PDF
- All Of Statistics: A Concise Course In Statistical Inference by Larry Wassennan (All Of Statistics)
Math & Stat Part, by Dr. Fakoor
1402 Fall
Data Matrix (2 Sessions)
- Chapter 1 of Data Mining & Analysis
- Slides (Decision Tree Classifier): PDF
- Data Matrix
- Attributes
- Data: Algebraic and Geometric View
- Data: Probabilistic View
1402 Fall
Numeric Attributes (2 Sessions)
- Chapter 2 of Data Mining & Analysis
- Slides (Decision Tree Classifier): PDF
- Univariate Analysis
- Bivariate Analysis
- Multivariate Analysis
- Data Normalization
- Normal Distribution
1402 Fall
Categorical Attributes (2 Sessions)
- Chapter 3 of Data Mining & Analysis
- Slides (Decision Tree Classifier): PDF
- Univariate Analysis
- Bivariate Analysis
- Multivariate Analysis
- Distance and Angle
- Discretization
- Hypothesis Testing and p-values
1402/07/29
EXAM 1
1402 Fall
Linear Regression (1 Sessions)
- Chapter 23 of Data Mining & Analysis
- Slides (Decision Tree Classifier): PDF
- Linear Regression Model
- Bivariate Regression
- Multiple Regression
- Ridge Regression
- Kernel Regression
- L1 Regression: Lasso
1402 Fall
Logistic Regression (1 Sessions)
- Chapter 24 of Data Mining & Analysis
- Slides (Decision Tree Classifier): PDF
- Binary Logistic Regression
- Multiclass Logistic Regression
1402 Fall
Regression Evaluation (2 Sessions)
- Chapter of Data Mining & Analysis
1402 Fall
High-dimensional Data (2 Sessions)
- Chapter 6 of Data Mining & Analysis
1402/07/29
EXAM 2
1402 Fall
Bayesian Inference (2 Sessions)
- Chapter 11 of All Of Statistics
1402 Fall
Stochastic Processes (4 Sessions)
- Chapter xx of All Of Statistics
1402 Fall
Simulation Methods (2 Sessions)
- Chapter xx of All Of Statistics
1402 Fall
Inference About Independence (2 Sessions)
- Chapter 23 of All Of Statistics
1402 Winter
Causal Inference (2 Sessions)
- Chapter 23 of All Of Statistics
1402 Winter
Directed Graphs (2 Sessions)
- Chapter 23 of All Of Statistics
1402 Winter
Undirected Graphs (1 Sessions)
- Chapter 24 of All Of Statistics
Classification Part by Dr. Nasiri
1402 Fall (3 Sessions)
Probabilistic Classification
- Chapter 18 of Data Mining & Analysis
- Slides (Probabilistic Classification): PDF
- Slide: Naïve Bayes Classifier by Eamonn Keogh
- Code KNN-Iris
- Code KNN-mnist
- HWHand Written digits Recognition
Additional Reading
- Slide: Bayes Nets for Representing and Reasoning About Uncertainty by Andrew W. Moore
- Slide: A Tutorial on Bayesian Networks by Weng-Keen Wong
1402 Winter
Decision Tree Classifier
- Chapter 19 of Data Mining & Analysis
- Slides (Decision Tree Classifier): PDF
- Slide: Information Gain by Linda Shapiro