Intro to Azure ML and Cloud Computing
Explore Azure ML Studio's cloud-based data science capabilities, from data upload and visualization to preprocessing and cleaning, using its intuitive graphical interface.
Excel for Finance and Accounting - Advanced Tutorial
Advanced Excel techniques for finance professionals, covering NPV, IRR, charts, Pivot Tables, and real-world exercises on financial statements. Improve workflow and data visualization skills for practical financial tasks.
Network Regression and Its Inference
Explore network regression and inference techniques for analyzing complex network data, focusing on estimating regression coefficients with network effects and addressing observational errors.
Regression Series
Comprehensive exploration of regression analysis, covering key concepts, advanced techniques, and model assumptions for data-driven decision-making.
Simple Linear Regression
Learn to analyze relationships between variables using linear regression, covering model interpretation, assumptions, inference, and practical applications.
Partial Least Squares for Nonlinear Regression
Explore dimension reduction in PLS regression for nonlinear relationships, challenging traditional views and proposing new insights into PLS-like methods for predictive modeling.
Statistical Rethinking 2023 - Modeling Events
Explore statistical modeling for events, covering discrimination, mediation, generative models, and generalized linear models. Learn to analyze and compute interventions, with a bonus on survival analysis.
Statistical Rethinking 2022 - Modeling Events
Explore statistical modeling of events, covering generative models, generalized linear models, logistic regression, and binomial regression. Learn to analyze gender applications and calculate marginal causal effects.
Statistics and Data Analysis
Learn essential statistics and data analysis concepts, including distributions, visualization techniques, correlation, regression, and hypothesis testing, to enhance your data interpretation skills.
Linear Algebra With Polynomials - Wild Linear Algebra A
Explore polynomials in linear algebra, covering interpolation, regression, and isomorphism. Learn to apply geometric approaches to transformations and connect polynomial spaces with vector spaces.
Regression Analysis in Machine Learning - Linear Regression - Logistic Regression
Comprehensive exploration of regression analysis, covering linear and logistic techniques. Learn to leverage data relationships for informed decision-making in various business contexts.
Measuring Speed - Average and Instantaneous Velocity - Part 1
Explore average and instantaneous velocity concepts through practical examples and data analysis techniques in this engaging calculus lesson.
High Dimensional Robust Sparse Regression
Explore advanced techniques for robust sparse regression in high-dimensional data, focusing on sublinear algorithms and nearest-neighbor search methods.
Efficient Algorithms for Outlier-Robust Regression
Explore advanced techniques for outlier-robust regression, focusing on efficient algorithms and their applications in high-dimensional statistics and machine learning.
Linear Regression Analysis and Forecasting
Learn regression analysis techniques for modeling, hypothesis testing, and forecasting using MINITAB software. Covers simple and multiple linear regression, parameter estimation, diagnostics, and practical applications.
Estimating Separable Matching Models
Explores methods for estimating separable matching models with transferable utility, focusing on minimum distance estimation and reformulation of the Choo and Siow model as a generalized linear model with two-way fixed effects.
How to Be More Productive Using Mathematics
Discover how mathematical concepts like Poisson distribution and vector calculus can boost your productivity, explained by an Oxford mathematician using real-world applications and advanced modeling techniques.
Sparsifying Generalized Linear Models
Explores sparsification of sums in generalized linear models, presenting algorithms for efficient computation and applications to optimization problems like regression.
Fast Algorithms for Regression Problems
Explore efficient algorithms for p-norm regression, overcoming challenges in large-scale data analysis and optimization with recent breakthroughs and generalizable techniques.
Navigating Uncertainty with the Power of Data: Probability and Statistics Unraveled
Explore probability and statistics to harness data's power in navigating uncertainty. Learn problem-solving skills and gain broader exposure to undergraduate-level mathematics and statistics.
Statistical Rethinking 2023
Comprehensive exploration of advanced statistical concepts, from basic models to complex techniques like Gaussian Processes and Generalized Linear Models, enhancing analytical skills for data interpretation.