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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
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Posts
Discrete and Continous-time Markov Chains
Published:
Discrete-time Markov Chain, Mover-Stayer Model, Continous-time Markov Chain, Poisson Process, Kolmogorov’s Differential Equations
An Example of Estimating ITT and LATE via Instrumental Variable
Published:
An example estimating the Intention-to-treat (ITT) effect and the Local Average Treatment Effect (LATE) of a public health policy.
Linear Regression and Regularization
Published:
Linear Regression, Non-linear Relationship, Bias-Variance Tradeoff, Regularization
Linear vs. Logistic Regression
Published:
Linear Regression, Logistic Regression, and their difference
courses
portfolio
Personalized Inteligence Mailbox Based on IoT
Report, Slides
A Personalized Inteligence Mailbox employing IoT techniques with Android app controlling through cloud communication.
Soccer Player Ratings
Slides, Video
A Regularized Adjusted Expected Goal Plus-Minus model(RAxGPM) in soccer to evaluate players’ performance.
Lip Reading Word Classification
Code, Slides
A CNN-LSTM based classifier model that takes a sequence of video frames as input and identifies the speaker’s words.
Fingertips Position Estimation of a Robot Hand
Code, Report, Video
A Convolutional Neural Network which takes the RGBD images of the robotic hand from three different views as input and returns the positions of each fingertip.
A Comparative Analysis of Collaborative Filtering Algorithms for Recommendation Systems
Report
Collaborative filtering (CF) is a widely used technique in Recommendation Systems (RS) that leverages the collective wisdom of users to make recommendations. In this work, we provide a comparative analysis of three prominent collaborative filtering algorithms: Matrix Factorization, Neighborhood Models, and emerging Neural Collaborative Filtering.
Calibrated NBA Win Probability Estimation
Report, Slides, Video
Trained Neural network and linear models to estimate in-game win probability of NBA using play-by-play data for both accuracy and calibration.
Technical Audit of Students’ Performance in Exams
Report, Slides, Video
A technical audit of an automated decision system (ADS) which implements machine learning models to predict student’s performance in exams to allocate extra study support accordingly.
Analyzing the Impact of Subway Major Incidents on Passenger Flows
Report
Modeling changes in subway passenger flows during major incidents using turnstile data to understand the impact on passenger dynamics within the network.
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
A RAPM Model for Soccer Player Ratings
Published:
teaching
CSCI-UA 0002 Introduction to Computer Programming (in Python)
Teaching Assistant, New York University, Department of Computer Science, Fall 2022
CSCI-UA 0002 Introduction to Computer Programming (in Python)
Teaching Assistant, New York University, Department of Computer Science, Spring 2023
DS-UA 201 Causal Inference
Teaching Assistant, New York University, Center for Data Science, Summer 2023
CSCI-UA 0002 Introduction to Computer Programming (in Python)
Teaching Assistant, New York University, Department of Computer Science, Fall 2023
DS-UA 301 Advanced Techniques in ML and Deep Learning
Teaching Assistant, New York University, Center for Data Science, Fall 2023