Data Science Against COVID-19 - Nuria Oliver, PhD
Explore how data science combats COVID-19 through mobility models, epidemiological predictions, and large-scale surveys. Learn key technical skills and insights from Dr. Nuria Oliver's multidisciplinary team of volunteer scientists.
Topological Descriptors and Scalar Field Comparison by Vijay Natarajan
Explore topological descriptors for complex data analysis, focusing on merge trees and tree edit distance-based measures for efficient feature comparison in CFD and 3D cryo electron microscopy.
Data Analysis with Merge Trees
Explore merge trees as topological summaries in data analysis, including their advantages over persistence diagrams, computational challenges, and applications in functional data and medical imaging.
From Rough Paths to Streamed Data
Explore the mathematical connection between rough paths theory and streamed data analysis, bridging theoretical concepts with practical applications in machine learning and dynamical systems.
Fundamentals of DAX in Power BI & Power Pivot
Comprehensive tutorial on DAX fundamentals for Power BI and Power Pivot, covering key concepts, functions, and advanced techniques to enhance data analysis and reporting skills.
Automatic Cell-Annotation for Single-Cell RNA-Seq Data Using a Reference Dataset - A SingleR Tutorial
Learn to annotate cell types in single-cell RNA-Seq data using SingleR. Explore annotation strategies, reference datasets, and diagnostic tools for accurate cell type assignment and visualization.
Tableau Basics Beginner Tutorial
Comprehensive introduction to Tableau for data analysis and visualization. Learn to create visualizations, work with data sources, build dashboards, and apply advanced techniques for effective data storytelling.
Coupling Time-Aware Multipersistence with Graph CNNs for Time Series Forecasting
Explore innovative time series forecasting using Graph Neural Networks and multipersistence, applied to traffic flow, cryptocurrency prices, and COVID-19 hospitalizations.
Microsoft 365 Productivity Tips and Tricks Tutorial
Boost productivity with advanced Microsoft 365 features: keyboard shortcuts, templates, Outlook tools, macros, and more. Learn time-saving techniques to enhance efficiency in Excel, Word, PowerPoint, and other apps.
Algebraic Perspectives of Persistence
Explore algebraic approaches to persistent homology, focusing on the stability of persistence diagrams and their relation to input data changes in topological data analysis.
Novel Computational Perspectives of Persistence
Explore innovative computational approaches to persistence in algebraic topology, focusing on advanced techniques and their applications in data analysis and topological research.
Training and Ensuring Reliability of ML Models - The Power of ArgoCD, Flyte, and Argo Workflows
Explore Wolt's approach to reliable ML model training and deployment using ArgoCD, Flyte, and Argo Workflows. Learn strategies for scalability, consistency, and collaboration in ML operations.
Tableau Data Visualization Expert Tutorial
Master Tableau's data visualization tools: from basics to advanced techniques. Learn to create interactive dashboards, custom reports, and powerful visualizations for effective data analysis and presentation.
Near-Optimal Heteroscedastic Regression With Symbiotic Learning by Praneeth Netrapalli
Explore near-optimal heteroscedastic regression techniques using symbiotic learning, presented by Praneeth Netrapalli. Gain insights into advanced data science methods for improved regression analysis.
Multiscale Decompositions and Random Walks on Convex Bodies
Explore multiscale decompositions and random walks on convex bodies in this advanced mathematical lecture, delving into probabilistic methods and optimization techniques for data science applications.
Extreme Simplicity Bias of Deep Learning by Prateek Jain
Explores the tendency of deep learning models to favor simple solutions, examining implications for model performance, generalization, and interpretability in various applications.
Almost Optimal Variance-Constrained Best Arm Identification - Lecture 2
Explores advanced techniques in variance-constrained best arm identification, focusing on optimal algorithms and theoretical analysis for efficient decision-making in multi-armed bandit problems.
Fitting Manifolds to Data in the Presence of Large Noise by Hari Narayanan
Explore techniques for fitting manifolds to noisy data, focusing on probabilistic and optimization methods in data science. Learn about cutting-edge approaches and their applications.
Particle Methods for Optimization Over Measures - Lecture 2
Explore particle methods for measure optimization in this advanced lecture, covering theoretical foundations and practical applications in data science and machine learning.
Finite Time Analysis of Temporal Difference Learning with Linear Function
Explores finite time analysis of Temporal Difference Learning with linear function approximation, discussing probabilistic and optimization methods in data science and their applications.
Stein Variational Gradient Descent - Fast Finite-Particle Convergence
Explore Stein Variational Gradient Descent and its fast finite-particle convergence in this technical talk by Dheeraj Nagaraj, part of a data science discussion meeting on probabilistic and optimization methods.