Course:

Presented by the OHBM OpenScienceSIG, this lesson covers how containers can be useful for running the same software on different platforms and sharing analysis pipelines with other researchers.

Difficulty level: Beginner

Duration: 01:21:59

Speaker: : Tom Shaw & Steffen Bollmann

Course:

This lesson gives an introduction to the Mathematics chapter of Datalabcc's Foundations in Data Science series.

Difficulty level: Beginner

Duration: 2:53

Speaker: : Barton Poulson

Course:

This lesson serves a primer on elementary algebra.

Difficulty level: Beginner

Duration: 3:03

Speaker: : Barton Poulson

Course:

This lesson provides a primer on linear algebra, aiming to demonstrate how such operations are fundamental to many data science.

Difficulty level: Beginner

Duration: 5:38

Speaker: : Barton Poulson

Course:

In this lesson, users will learn about linear equation systems, as well as follow along some practical use cases.

Difficulty level: Beginner

Duration: 5:24

Speaker: : Barton Poulson

Course:

This talk gives a primer on calculus, emphasizing its role in data science.

Difficulty level: Beginner

Duration: 4:17

Speaker: : Barton Poulson

Course:

This lesson clarifies how calculus relates to optimization in a data science context.

Difficulty level: Beginner

Duration: 8:43

Speaker: : Barton Poulson

Course:

This lesson covers Big O notation, a mathematical notation that describes the limiting behavior of a function as it tends towards a certain value or infinity, proving useful for data scientists who want to evaluate their algorithms' efficiency.

Difficulty level: Beginner

Duration: 5:19

Speaker: : Barton Poulson

Course:

This lesson serves as a primer on the fundamental concepts underlying probability.

Difficulty level: Beginner

Duration: 7:33

Speaker: : Barton Poulson

Serving as good refresher, this lesson explains the maths and logic concepts that are important for programmers to understand, including sets, propositional logic, conditional statements, and more.

This compilation is courtesy of freeCodeCamp.

Difficulty level: Beginner

Duration: 1:00:07

Speaker: : Shawn Grooms

This lesson provides a useful refresher which will facilitate the use of Matlab, Octave, and various matrix-manipulation and machine-learning software.

This lesson was created by RootMath.

Difficulty level: Beginner

Duration: 1:21:30

Speaker: :

This lesson gives an in-depth introduction of ethics in the field of artificial intelligence, particularly in the context of its impact on humans and public interest. As the healthcare sector becomes increasingly affected by the implementation of ever stronger AI algorithms, this lecture covers key interests which must be protected going forward, including privacy, consent, human autonomy, inclusiveness, and equity.

Difficulty level: Beginner

Duration: 1:22:06

Speaker: : Daniel Buchman

This is the second of three lectures around current challenges and opportunities facing neuroinformatic infrastructure for handling sensitive data.

Difficulty level: Beginner

Duration: 48:26

Speaker: : Michael Schirner

This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases.

Difficulty level: Beginner

Duration: 39:05

Speaker: : Nir Giladi

This lecture continues from part one (previous lesson), highlighting our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases.

Difficulty level: Beginner

Duration: 45:27

Speaker: : Nir Giladi

This lecture picks up from the previous lesson, providing an overview of neuroimaging techniques and their clinical applications.

Difficulty level: Beginner

Duration: 41:00

Speaker: : Dafna Ben Bashat

This lesson provides a basic introduction to clinical presentation of schizophrenia, its etiology, and current treatment options.

Difficulty level: Beginner

Duration: 51:49

Speaker: : Wolfgang Fleischhacker

This lecture focuses on the rationale for employing neuroimaging methods for movement disorders.

Difficulty level: Beginner

Duration: 1:04:04

Speaker: : Bogdan Draganski

The INS Emerging Issues Task Force held a virtual panel discussion on the evolving role and increased adoption of digital applications to deliver mental health care. It was held as a session at the annual conference of the Italian Society for Neuroethics.

Difficulty level: Beginner

Duration: 58:30

This talk enumerates the challenges regarding data accessibility and reusability inherent in the current scientific publication system, and discusses novel approaches to these challenges, such as the EBRAINS Live Papers platform.

Difficulty level: Beginner

Duration: 18:08

Speaker: : Andrew Davison

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