Books

SIAI Lecture Notes
SIAI Yearbook
- SIAI Yearbook – 2023
- SIAI Yearbook – 2024

SIAI Yearbook – 2024

Hyoung Keun Kwon (MSc, 2024)

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Books

SIAI Yearbook – 2024 - Previous Donggyu Kim (MBA, 2024)

Probabilistic Graphical Models
Class 2. Exact matching via quadrature
Regression Analysis III
SIAI Yearbook – 2024
Class 8. Summary of Deep Learning
Class 3. MCMC and Bayesian extensions
Machine Learning
Class 5. Dimensionality reduction
Class 5. Image recognition
Class 2. Consumer choices
Class 6. Endogeneity – Measurement error
Panel Data Analysis
Reinforcement Learning
Social Network Analysis
Class 7. Artificial Neural Network
Yeonsook Kwak (MBA, 2024)
Class 7. Summary of Data-based Decision Making 1
Regression Analysis II
Class 1. Approximations and computational cost
Class 5. Endogeneity – Correlation between errors and regressors
Class 6. Bayesian statistics
Games with Incomplete Information
Jeonghun Song (MSc, 2023)
AI in Asset Management
Class 7. Optimization methods
AI in Corporate Finance
Game Theory
Class 5. Simulations
Class 8. Summary of Machine Learning
Class 3. Data grouping
Class 2. Bellman equations
AI in Digital Marketing
Math & Stat for MBA I
Class 2. Classification
Class 3. Basic statistics
Scientific Programming
Law and AI
Class 8. Summary of Math & Stat for MBA II
Class 7. Summary of Math & Stat for MBA II
Class 3. Causality in data science
Class 7. Large Language Model (LLM)
Class 4. Basic time series regression analysis
Data Visualization
Class 5. Probability models
Class 6. Factor analysis
Advanced Reinforcement Learning
Class 2. Basic statistics
Class 1. Large sample properties and maximum likelihood
Class 2. Autoencoder
Class 7. Summary of Math & Stat for MBA I
Class 1. Regression problems
Class 8. Summary of Data-based Decision Making 2
Class 4. Time series II – Seasonality and frequency
Class 4. First-order differential equations (FODE)
Advanced Deep Learning
Jeongwoo Park (MSc, 2023)
Class 3. Fourier transform
Class 5. Simulation and Bayesian
Deep Learning
Bayesian Statistics I
Class 4. Finite differences
Class 8. Summary of Math & Stat for MBA I
Class 1. Introduction to intertemporal optimization
Class 4. Ensemble
Class 6. Endogeneity 2 – Correlation between errors and regression
Class 2. Generalized least square
Sungsu Han (MBA, 2024)
SIAI Yearbook
Class 3. Time Series – ACF and PACF
Class 1. Comparative advantage
Information Theory
Class 4. ANOVA to Multivariate regression
SIAI Yearbook – 2023
Bayesian Statistics II
Books
Class 1. Introduction to deep learning
Hyeyoung Park (MBA, 2023)
Math & Stat for MBA II
Class 8. Summary of Reinforcement Learning
Class 6. Policy-based optimization
Class 6. Recurrent Neural Network
Class 4. Boltzmann machine
Class 6. Variance reduction
Class 5. Value-based optimization
AI Business Cases
Class 8. Summary of Scientific Programming
Bohyun Yoo (MBA, 2023)
Mincheol Kim (MSc, 2023)
Class 7. Deep Generative Models
Donggyu Kim (MBA, 2024)
Class 3. Hamiltonian analysis
Data Management
Data-based Decision Making
Regression Analysis I
SIAI Lecture Notes
Class 1. Basic statistics
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Hyoung Keun Kwon (MSc, 2024)

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Global Institute of Artificial Intelligence(GIAI) LLC. is an academic association with a group of scientifically trained researchers in the field of AI/Data Science. The institution runs multiple business lines including AI/Data Science consultancy, academic journals, graduate school level higher education, and business journals dedicated to technological advance.

The European headquarter is in Dublin, Ireland, with world-wide strongpoints in Europe, Americas, and Asia. Membership of the institution is open to academic groups, businesses in AI/Data Science, and individuals with dedicated research/business records.

Office: Block B, Capital Dock, 80 Sir John Rogerson's Quay, Dublin, Ireland
E-mail : [email protected]