Lecture on the most important concepts in software engineering
Introduction to the Mathematics chapter of Datalabcc's "Foundations in Data Science" series.
Primer on elementary algebra
Primer on linear algebra
Primer on systems of linear equations
Primer on calculus
How calculus relates to optimization
Big O notation
Basics of probability.
How does the brain learn? This lecture discusses the roles of development and adult plasticity in shaping functional connectivity.
This lecture covers describing and characterizing an input-output relationship.
This tutorial talks about how to upload and version your data in OpenNeuro.org
This tutorial shows how to share your data in OpenNeuro.org
This tutorial shows how to run analysis in OpenNeuro.org
Inferring results from incomplete data
Finding parameter values, confidence intervals.
Methods for estimating parameters.
Measuring the correspondece between data and model.
How to choose useful variables.
Common problems in statistical modelling.