The probability of a hypothesis, given data.
Why math is useful in data science.
Why statistics are useful for data science.
Statistics is exploring data.
Graphical data exploration
Numerical data exploration
Simple description of statistical data.
Basics of hypothesis testing.
Enabling neuroscience research using high performance computing
Lecture on the most important concepts in software engineering
This lecture covers structured data, databases, federating neuroscience-relevant databases, ontologies.
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.