## Lesson type

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 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
Course Name: : Brain medicine for non-specialists
Lesson title:

2nd part of the lecture. 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: : 45:27
Course Name: : Brain medicine for non-specialists
Lesson title:

This lecture will provide an overview of neuroimaging techniques and their clinical applications

Difficulty level: Beginner
Duration: : 41:00
Speaker: : Dafna Ben Bashat
Course Name: : Brain medicine for non-specialists
Lesson title:

A basic introduction to clinical presentation of schizophrenia, its etiology, and current treatment options.

Difficulty level: Beginner
Duration: : 51:49
Course Name: : Brain medicine for non-specialists

The lecture focuses on rationale for employing neuroimaging methods for movement disorders

Difficulty level: Beginner
Duration: : 1:04:04
Speaker: : Bogdan Draganski
Course Name: : Brain medicine for non-specialists
Lesson title:

Introduction to the types of glial cells, homeostasis (influence of cerebral blood flow and influence on neurons), insulation and protection of axons (myelin sheath; nodes of Ranvier), microglia and reactions of the CNS to injury.

Difficulty level: Beginner
Duration: : 40:32
Course Name: : Introduction to neurobiology for non-specialists
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
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: : Biophysical models
Lesson title:

This lecture describes non-spiking simple neuron models used in artificial neural networks and machine learning.

Difficulty level: Beginner
Duration: : 8:23
Speaker: : Geoffrey Hinton
Course Name: : Computational neuroscience: the basics
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: : Introduction to computational neuroscience
Lesson title:

This lecture describes non-spiking simple neuron models used in artificial neural networks and machine learning.

Difficulty level: Beginner
Duration: : 8:23
Speaker: : Geoffrey Hinton
Course Name: : Introduction to computational neuroscience