Reliable Machine Learning in Healthcare
Explore reliable machine learning techniques for healthcare applications, focusing on survival models, dependent censoring, and covariate shift detection to enhance medical decision-making.
Tea - A High-level Language and Runtime System for Automating Statistical Analysis
Introduces Tea, a declarative language for automating statistical analysis. Simplifies hypothesis testing by determining valid tests based on study design and assumptions, lowering barriers to accurate statistical research.
Playful Engagement for Public Spaces - A Case Study on a Mall Escalator
Exploring playful design for public spaces through an augmented escalator case study, addressing safety concerns and enhancing user engagement in a shopping mall environment.
Measuring the IQ of Your Threat Intelligence Feeds
Explore methods to evaluate and enhance threat intelligence feeds, focusing on IP addresses, metrics, and statistical tests for improved cybersecurity decision-making.
Experimentation
Colin McFarland shares insights on scaling experimentation in businesses, covering causality, common pitfalls, and how tooling and education drive data-focused culture for competitive advantage.
Cyber Intelligence - There Are No Rules and No Certainties
Explore cyber intelligence frameworks, attribution techniques, and practical approaches to managing and automating intelligence processes in the digital domain.
Creating an Incremental Architecture for Your System
Learn to create flexible software architecture incrementally, balancing upfront design with adaptability. Discover techniques for evolving system design as requirements change, focusing on key qualities and delaying non-critical decisions.
It Might Look Normal but This Distribution Will Ruin Your Stats
Explore a deceptive non-normal distribution that mimics normality, its prevalence in nature, and its impact on hypothesis testing. Learn about robust statistics and their applications in data analysis.
Falsifiability and Reproducibility in Research - Part 2
Explore falsifiability in theoretical research and reproducibility in experimental research, enhancing understanding of scientific methodology.
What is Science? The Method and Nature of Scientific Truth - Part 2
Explore the scientific method and nature of truth, delving into fundamental concepts that shape our understanding of scientific inquiry and knowledge.
Excel Statistical Analysis - Introduction
Explore Excel's statistical analysis tools for business applications in this comprehensive introduction to Highline College's Busn 210 course.
Hypothesis Testing for Difference of Standard Deviations in Applied Statistics
Master statistical hypothesis testing techniques for analyzing differences in standard deviations, with practical applications in probability and advanced mathematics.
Difference of Mean - Hypothesis Testing in Applied Statistics
Master statistical hypothesis testing through practical numerical problems focused on difference of means, enhancing your applied mathematics and analytical skills.
Chi-Square Test and Goodness of Fit for Hypothesis Testing in Applied Statistics
Master the Chi-Square test and goodness of fit analysis through practical numerical examples and hypothesis testing methods for statistical applications in business and engineering.
Test for Single Proportion and Hypothesis in Applied Statistics
Master statistical hypothesis testing through single proportion analysis, covering one-tail and two-tail tests with practical applications and numerical examples.
Scientific Feasibility (ScFy)
Explore scientific feasibility with Erica Briscoe, delving into the concept of ScFy and its applications in research and innovation.
SPSS
Learn essential statistical techniques using SPSS, including ANOVA, regression, t-tests, and descriptive statistics for effective data analysis and interpretation.
Scaling Structured Concurrency with Async Python
Discover how to leverage async Python for structured concurrency, exploring error handling, timeouts, and cancellation while learning to write elegant concurrent code using tools like flake8-trio and dynamic analysis.
Using Julia as Part of an Anomaly Detection Pipeline
Explore Julia's role in anomaly detection pipelines, integrating data analysis, algorithm development, and real-time processing with Java-based web applications for efficient business solutions.
Hypothesis Testing via Fisher Exact Test - The Lady Tasting Tea - Lecture 15
Explore the fascinating Lady Tasting Tea experiment and master hypothesis testing concepts through Fisher's Exact Test methodology in statistical analysis.
Hypothesis Testing: Three Steps and Examples with Height Analysis - Lecture 15B
Master hypothesis testing through a systematic 3-step approach, exploring real-world examples with height data and known variance to build practical statistical analysis skills.