Software Requirements Analysis: Needs, Rules, and Tests
Start with a real workflow and an outcome Software requirements analysis translates a problem and its constraints into behavior that stakeholders can…
Category: Science & Technology
Explore technology and science guides on data, systems, research methods and responsible application, with clear explanations and examples.
Machine Learning Model Evaluation: Performance and Risk
Define the decision a model will support Machine learning model evaluation begins with a use case, not an accuracy number. Specify what…
Regression Analysis: Models, Assumptions, and Interpretation
Define the relationship you want to estimate Regression analysis describes how an outcome varies with one or more predictors under a specified…
Inferential Statistics: Estimation, Testing, and Meaning
Define the population and question Inferential statistics uses a sample and a set of assumptions to learn about a wider population or…
Data Visualization: Choosing Clear and Honest Charts
Decide what the reader needs to see Data visualization makes a pattern inspectable; it should not substitute for the reasoning needed to…
Experimental Design: Variables, Controls, and Inference
Start with a testable comparison Experimental design turns a research question into a comparison that can distinguish an intervention’s effect from other…
How to Write a Scientific Lab Report
State the question and the proposed test A scientific lab report records what was investigated, how evidence was produced and what conclusion…
Artificial Intelligence: Capabilities, Limits, Ethics, and Evaluation
Artificial intelligence is a family of computational methods that detect patterns, make predictions, generate content, or support decisions. The useful question is…
Technology Implementation: From Needs Assessment to Adoption
Technology implementation succeeds when an organization changes a real process and can show that the change helps the people who use it.…
Descriptive Statistics: Summarizing and Interpreting Data
Descriptive statistics organize observed data so a reader can understand a distribution before making broader claims. Counts, percentages, averages, spread, and charts…