Irina (Xinli) Yu, Ph.D.Creating Evaluation Metrics from Scratch: Tackling Common Interview Questions on NDCG and AUC-ROCIn the world of machine learning, evaluating the performance of models is critical to understanding their effectiveness. While many metrics…1d ago1d ago
Irina (Xinli) Yu, Ph.D.Understanding Common Evaluation Metrics in Machine LearningIn the ever-evolving field of machine learning, evaluating the performance of models is crucial to ensuring their effectiveness and…1d ago1d ago
Irina (Xinli) Yu, Ph.D.Forecastin Sunspot Activity with AutoGluon AutoML in Python: A Step-by-Step GuideIntroductionJul 3Jul 3
Irina (Xinli) Yu, Ph.D.Understanding the Central Limit Theorem: A Key Concept in StatisticsThe Central Limit Theorem (CLT) is one of the most fundamental and widely-used principles in statistics. It underpins many statistical…Jul 3Jul 3
Irina (Xinli) Yu, Ph.D.Understanding P-Values: What They Are and How to Interpret ThemIn the realm of statistics and data science, p-values are a fundamental concept used to determine the significance of results. Despite…Jul 3Jul 3
Irina (Xinli) Yu, Ph.D.Tips for Improving Model Performance in Machine LearningBuilding a high-performing machine learning model is a blend of art and science. It involves understanding the data, choosing the right…Jul 2Jul 2
Irina (Xinli) Yu, Ph.D.6 Essential Feature Engineering Techniques for Enhancing Time Series Data (Using Python)Feature engineering is a crucial step in the data preprocessing pipeline, especially for time series data. It involves transforming raw…Jul 2Jul 2
Irina (Xinli) Yu, Ph.D.Outlier Detection Techniques: Identifying Anomalies in Your DataOutlier detection is a critical aspect of data preprocessing and analysis in data science. Outliers can significantly impact the results of…Jul 21Jul 21
Irina (Xinli) Yu, Ph.D.The Curse of Dimensionality in Data Science: An In-Depth ExplorationIn the ever-evolving field of data science, the curse of dimensionality is a critical concept that often poses significant challenges. As…Jul 1Jul 1
Irina (Xinli) Yu, Ph.D.Understanding Bias and Variance in Machine LearningIn the realm of machine learning, the concepts of bias and variance are fundamental to understanding the performance of predictive models…Jul 1Jul 1
