Predicting Rare Events Using Ordinal Regression - From Purchases to Diseases
Dive into advanced ordinal regression techniques for predicting rare events like purchases and diseases, with practical examples and implementation guidance.
Business Intelligence Solutions: How to Use Data to Deliver Business Insights
Discover essential strategies for becoming a successful Business Intelligence Engineer, from mastering technical skills to delivering impactful data insights that drive organizational decision-making.
Visio 2019 Advanced Tutorial
Comprehensive tutorial on advanced Visio 2019 features, covering BPMN diagrams, 3D shapes, custom stencils, pivot diagrams, Gantt charts, macros, and integration with external data sources for enhanced visualization.
Visio 2019 Beginner Tutorial
Learn to create diagrams, charts, and visualizations using Visio 2019. Master drawing tools, organizational charts, floor plans, flowcharts, and network diagrams. Explore advanced features like 3D shapes and external data integration.
Auditing Radicalization Pathways on YouTube
Critical analysis of YouTube's alleged radicalization pipeline, examining user behavior, content recommendations, and community intersections to evaluate claims of systematic progression towards extreme ideologies.
Talking BIG Jobs: Career Insights from a DoD Technical Director - Dr. Carla Cotwright-Williams
Explore a mathematician's journey to Technical Director at the DoD, offering insights on career transitions, research, and leadership in government roles.
Linear Spaces of Symmetric Matrices - SIAM SAGA Seminar
Explore linear spaces of symmetric matrices, their algebraic geometry, and applications in statistics and optimization with Bernd Sturmfels in this advanced mathematics seminar.
Nonlinear Spectral Decompositions in Imaging and Inverse Problems
Explore nonlinear spectral decompositions in imaging and inverse problems, covering variational theory, applications, and computational methods for nonlinear eigenfunctions.
Multivariate Portfolio Choice via Quantiles
Explore multivariate portfolio optimization using quantiles, extending univariate approaches to solve complex financial problems and develop new numerical solutions for multivariate preferences.
A Guide to A/B Testing as a Data Scientist
Comprehensive guide to A/B testing for data scientists, covering experiment design, dataset creation, hypothesis testing, Bayesian methods, and result interpretation using practical examples and code.
How to Run A-B Tests as a Data Scientist
Explore Bayesian A/B testing for data scientists, comparing it with frequentist methods using real data and code. Learn to define experiments, process data, and interpret results effectively.
RocksDB Advanced Features and Optimizations - Lightning Talks
Lightning talks on RocksDB features: Lua compaction filters, read cache, statistics, iterator-assisted inserts, large value support, bulk loading, and more. Insights into performance improvements and advanced functionalities.
How Much Data Is Enough to Build a Machine Learning Model
Explore techniques to measure data coverage for machine learning models, ensuring sufficient multivariate representation and understanding extrapolation in high dimensions.
Principal Component Analysis
Explore dimensionality reduction through PCA, covering variance, covariance, eigenvectors, and eigenvalues. Learn key concepts with visual explanations and practical applications in data analysis.
Using Your Powers for Good - Data Science in the Social Sector
Explore data science applications in the social sector, including disaster relief and education. Learn techniques like logistic regression and ensemble building for impactful machine learning projects.
Topological Data Analysis - New Perspectives on Machine Learning - by Jesse Johnson
Explore geometric patterns in data and how abstract geometry concepts enhance machine learning algorithms. Gain insights into data structure through higher-dimensional perspectives.
ODSC West 2015 - Cloud Native Data Science
Cloud-native design principles for data science applications: creating scalable, stateless models easily deployable in modern cloud systems. Insights on open-source platforms and best practices.
From Hyperbolic Geometry to Data Clustering
Explore how hyperbolic geometry and knot theory inspire innovative data clustering algorithms, bridging abstract mathematics with practical data science applications.
Power Query Group By - Complete Lesson with 10 Examples
Comprehensive tutorial on Power Query's Group By feature, covering basic to advanced applications with 10 practical examples for data analysis and calculations in Excel.
R for Data Scientists and Data Analysts
Master essential R skills for data analysis and science, covering variables, vectors, functions, and control structures in a comprehensive tutorial.
Practical Statistics for Data Scientists - Data and Sampling Distributions
Explore data and sampling distributions in statistics for data science, covering random sampling, bias, regression, and key statistical concepts with practical examples.