Launch of the Center for the Economics of Human Development
Explore human development economics with Nobel Laureate James Heckman, focusing on interdisciplinary research to address social inequality and promote equal opportunities for human flourishing.
Research in Action - Making an Impact Through Social Science
Experts share strategies for translating academic research into real-world impact, discussing challenges and offering tips for emerging social scientists to effectively communicate findings beyond academia.
Social Sequence Analysis: An Introduction and Overview
Introduction to social sequence analysis: history, research applications, data sources, capabilities, limitations, and software options for analyzing event and state sequences.
Engineering Econometrics
This course will be exclusively quantitative and an application to business/management-related problems. It is connected with problem sets and real-life cases to know the relevance of a particular problem and the decision-making thereof.
Dashboarding with Notebooks
Learn Dashboarding with Notebooks with Kaggle! In this course, you will learn about what information to include, best practices for making dashboards, running notebooks with Kaggle API, scheduling notebook runs using cloud services, and testing and valid…
Decision Trees and Ensemble Methods
Explore decision trees, ensemble methods, and advanced techniques like random forests and boosting algorithms for improved machine learning model performance.
Statistics 200 Video Lectures
Comprehensive video lectures covering fundamental statistical concepts, methods, and applications for beginners through advanced learners.
Statistics Lectures - OER
Comprehensive introduction to statistical concepts and methods, covering fundamental principles and practical applications in data analysis and interpretation.
Applied Statistics and Econometrics
Gain practical skills in statistical analysis and econometric modeling, enhancing your ability to interpret data and make informed economic decisions.
New Method for Detecting and Managing Prostate Cancer - Robert Reiter, MD - UCLAMDChat
Explore Ga-PSMA PET CT, a groundbreaking imaging technique for detecting metastatic prostate cancer. Learn about its applications, benefits, and impact on disease management from UCLA urologist Dr. Robert Reiter.
STEM Workshop - Introduction of R-Python Programming and Bioinformatics to High School Students
Comprehensive workshop introducing R and Python programming for bioinformatics to high school students, covering data analysis, visualization, and computational biology applications.
Discriminative Prototype Selection for Graph Embedding
Explore graph embedding techniques, focusing on discriminative prototype selection methods for improved graph representation and matching in various applications.
Towards Intelligent Fashion Recommendation
Explore intelligent fashion recommendation systems, covering research topics, criteria, databases, and future developments in AI-driven style suggestions.
Filtering in Computer Vision - Lecture 2
Learn about image filtering techniques, including noise reduction, edge detection, and smoothing. Explore applications in computer vision and gain hands-on experience with MATLAB functions for image processing.
CAP5415 - Digital Image Processing: Filtering and Noise Reduction - Lecture 3
Explore image processing fundamentals, including digitization, histograms, noise types, and filtering techniques. Learn about derivatives, averages, and correlation in the context of digital image analysis.
Why Can't I Dance in the Mall? Mitigating Scene Bias in Action Recognition
Explores scene bias in action recognition, proposing solutions like adversary training and human mask confusion loss to improve accuracy across different environments.
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction
Explore unsupervised keypoint learning techniques for guiding class-conditional video prediction, enhancing the accuracy and efficiency of video generation models.
Generative Adversarial Minority Oversampling
Explore innovative techniques for addressing class imbalance in machine learning using generative adversarial networks and convex generators, with a focus on minority oversampling.
Unmasking Clever Hans Predictors and Assessing Machine Learning - Spring 2021
Unmasking clever predictors: Explore Layer-wise Relevance Propagation and SPRAY techniques to assess machine learning models' decision-making processes and identify potential biases or faults.
TinyAction Challenge - Action Recognition in Short Videos
Explore cutting-edge research on tiny action recognition, including data analysis, evaluation methods, and experimental results in computer vision and AI.
Autoencoder Architecture and Applications - Lecture 10
Explore autoencoders: architecture, comparison, applications in image retrieval, denoising, and anomaly detection. Gain insights into this powerful neural network technique.