Data Analytics with Python
Learn Python-based data analytics, covering statistics, probability, hypothesis testing, regression, ANOVA, clustering, and decision trees. Gain practical skills for data-driven decision making and statistical analysis.
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.
Did You Behave in Real-Time? A Probabilistic Evaluation with Trace Data
Explore probabilistic evaluation methods for real-time behavior using trace data, enhancing system performance analysis and reliability assessment.
MPG Primer: suSIEx - Medical and Population Genetics 2023
Explore suSIEx, a cutting-edge method for analyzing genetic data in medical and population genetics. Learn its principles, applications, and potential impact on understanding complex traits and diseases.
Study Design Part 1: Survival Analysis - Lecture 2C
Explore survival analysis techniques for clinical research, covering key concepts and applications in study design and data interpretation.
Study Design Part 1 - Observational Studies - Lecture 2A
Explore observational study designs in clinical and translational research, focusing on key principles and applications in medical research.
Generalization in Robotic Behavior Cloning: Pitfalls and Promises
Explore challenges and solutions in robotic behavior cloning, focusing on generalization in continuous state/action spaces. Gain insights into frameworks enabling agents to imitate complex behaviors with provable guarantees.
When Do Dependencies in Your Data Help? - Emerging Generalization Settings
Explore how dependencies in data can overcome computational barriers in learning graphical models, using the Glauber dynamics process as a natural data generation method.
Using Classical Algorithms for Modern Applications: MCMC for Tail Calculations, EM - Lecture
Explore classical algorithms applied to modern challenges: MCMC for tail probability estimation and EM for PET reconstruction. Gain insights into innovative adaptations of established methods for cutting-edge problems.
Informatics and Statistics for Metabolomics 2012
Learn key concepts and tools for metabolomics analysis, including software, databases, statistical methods, and data integration techniques for advancing research in this field.
Data Science for Beginners - Learn Data Science in 9 Hours
This tutorial on "Data Science for Beginners" would help you to comprehensively master all the concepts of Data Science.
Statistical Methods
Comprehensive lectures on statistical methods covering probability, distributions, hypothesis testing, and regression, with practical examples and review problems.
Method of Moments Topics
Explore estimation techniques for various probability distributions using the Method of Moments, including gamma, uniform, normal, binomial, and Pareto.
Linear Regression and Correlation
Comprehensive exploration of linear regression and correlation, covering theory, calculations, and practical applications with solved examples and derivations.
Bayesian Statistics - A Comprehensive Course
Comprehensive introduction to Bayesian statistics, covering key concepts, probability distributions, and practical applications with minimal mathematical complexity.
Statistics - Vol 6
Master hypothesis testing for two means and proportions in independent and dependent samples, covering large and small sample sizes.
Statistical Methods - Biostatistics
Comprehensive biostatistics training covering hypothesis testing, z-test, t-test, chi-square test, F-test, and ANOVA. Includes theory, applications, and problem-solving for robust statistical analysis in biological research.
Applied Biostatistics
Comprehensive exploration of biostatistical methods and applications, equipping learners with practical skills for data analysis in biological and medical research contexts.
Applications of Robust Statistics for Periodicity Detection in Non-Gaussian Signals - Analysis in Bi-Frequency Domain
Odkryj metody wykrywania okresowości w sygnałach niegaussowskich z wykorzystaniem statystyk odpornych i analizy w dziedzinie bi-częstotliwości.
粒径分布の数学的取り扱い - 第1回
粒径分布の数学的取り扱いについて学び、混相流の基礎知識を深める。大阪大学名誉教授による専門的な講義で、混相流学の理解を促進。
Particle Size Distribution: Mathematical Treatment - Part 1
探索粒子尺寸分布的数学处理 方法，学习如何分析和表征多相流中的颗粒系统。