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Lesson title:

The probability of a hypothesis, given data.

Difficulty level: Beginner
Duration: : 7:57
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Why math is useful in data science.

Difficulty level: Beginner
Duration: : 1:35
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Why statistics are useful for data science.

Difficulty level: Beginner
Duration: : 4:01
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Statistics is exploring data.

Difficulty level: Beginner
Duration: : 2:23
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Graphical data exploration

Difficulty level: Beginner
Duration: : 8:01
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Numerical data exploration

Difficulty level: Beginner
Duration: : 5:05
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Simple description of statistical data.

Difficulty level: Beginner
Duration: : 10:16
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Basics of hypothesis testing.

Difficulty level: Beginner
Duration: : 06:04
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

In this lecture, the speaker demonstrates Neurokernel's module interfacing feature by using it to integrate independently developed models of olfactory and vision LPUs based upon experimentally obtained connectivity information.

Difficulty level: Intermediate
Duration: : 29:56
Speaker: : Aurel A. Lazar
Course Name: : Open collaboration in computational neuroscience
Lesson title:

This lecture covers an introduction to neuroinformatics and its subfields, the content of the short course and future neuroinformatics applications.

Difficulty level: Beginner
Duration: : 34:27
Course Name: : INCF Short course: Introduction to neuroinformatics
Lesson title:

Introduction to the Mathematics chapter of Datalabcc's "Foundations in Data Science" series.

Difficulty level: Beginner
Duration: : 2:53
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Primer on elementary algebra

Difficulty level: Beginner
Duration: : 3:03
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Primer on linear algebra

Difficulty level: Beginner
Duration: : 5:38
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Primer on systems of linear equations

Difficulty level: Beginner
Duration: : 5:24
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Primer on calculus

Difficulty level: Beginner
Duration: : 4:17
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

How calculus relates to optimization

Difficulty level: Beginner
Duration: : 8:43
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Big O notation

Difficulty level: Beginner
Duration: : 5:19
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Basics of probability.

Difficulty level: Beginner
Duration: : 7:33
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.

Difficulty level: Beginner
Duration: : 1:23:01
Speaker: : Gaute Einevoll
Course Name: : INCF Short course: Introduction to neuroinformatics
Lesson title:

This lecture covers an Introduction to neuron anatomy and signaling, and different types of models, including the Hodgkin-Huxley model.

Difficulty level: Beginner
Duration: : 1:23:01
Speaker: : Gaute Einevoll
Course Name: : Computational neuroscience: the basics