Lesson type
Difficulty level
Lecture title:
Course:
The probability of a hypothesis, given data.
Difficulty level: Beginner
Duration: 7:57
Speaker: : Barton Poulson
Lecture title:
Course:
Why math is useful in data science.
Difficulty level: Beginner
Duration: 1:35
Speaker: : Barton Poulson
Lecture title:
Course:
Why statistics are useful for data science.
Difficulty level: Beginner
Duration: 4:01
Speaker: : Barton Poulson
Lecture title:
Course:
Statistics is exploring data.
Difficulty level: Beginner
Duration: 2:23
Speaker: : Barton Poulson
Lecture title:
Course:
Graphical data exploration
Difficulty level: Beginner
Duration: 8:01
Speaker: : Barton Poulson
Lecture title:
Course:
Numerical data exploration
Difficulty level: Beginner
Duration: 5:05
Speaker: : Barton Poulson
Lecture title:
Course:
Simple description of statistical data.
Difficulty level: Beginner
Duration: 10:16
Speaker: : Barton Poulson
Lecture title:
Course:
Basics of hypothesis testing.
Difficulty level: Beginner
Duration: 06:04
Speaker: : Barton Poulson
Lecture 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
Lecture title:
Course:
Introduction to the Mathematics chapter of Datalabcc's "Foundations in Data Science" series.
Difficulty level: Beginner
Duration: 2:53
Speaker: : Barton Poulson
Lecture title:
Course:
Primer on elementary algebra
Difficulty level: Beginner
Duration: 3:03
Speaker: : Barton Poulson
Lecture title:
Course:
Primer on linear algebra
Difficulty level: Beginner
Duration: 5:38
Speaker: : Barton Poulson
Lecture title:
Course:
Primer on systems of linear equations
Difficulty level: Beginner
Duration: 5:24
Speaker: : Barton Poulson
Lecture title:
Course:
Primer on calculus
Difficulty level: Beginner
Duration: 4:17
Speaker: : Barton Poulson
Lecture title:
Course:
How calculus relates to optimization
Difficulty level: Beginner
Duration: 8:43
Speaker: : Barton Poulson
Lecture title:
Course:
Big O notation
Difficulty level: Beginner
Duration: 5:19
Speaker: : Barton Poulson
Lecture title:
Course:
Basics of probability.
Difficulty level: Beginner
Duration: 7:33
Speaker: : Barton Poulson
Lecture 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
Speaker: : Nir Giladi
Lecture 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
Speaker: : Nir Giladi
Lecture title:
This lecture will discuss how understanding and applying simple neuroanatomical rules, one can localize the damage along the neuroaxis, the first crucial step toward making the correct clinical diagnosis and initiating treatment.
Difficulty level: Beginner
Duration: 44:52
Speaker: : Eitan Auriel