Difference between revisions of "Math for Intelligence"
(→Josh Starmer - StatQuest) |
(→Statistics) |
||
| Line 77: | Line 77: | ||
== Quantum Algorithm == | == Quantum Algorithm == | ||
<youtube>LhtnECml-KI</youtube> | <youtube>LhtnECml-KI</youtube> | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
Revision as of 06:49, 12 July 2019
YouTube search... ...Google search
- Statistics for Intelligence
- Causation vs. Correlation
- Dot Product
- Animated Math | Grant Sanderson @ 3blue1brown.com
- Introduction to Matrices and Matrix Arithmetic for Machine Learning | Jason Brownlee
- Essential Math for Data Science: ‘Why’ and ‘How’ | Tirthajyoti Sarkar
- Gentle Dive into Math Behind Convolutional Neural Networks | Piotr Skalski - Towards Data Science
- Varient: Limits
- Google's Crash Course
- Neural Networks and Deep Learning - online book | Michael A. Nielsen
- Brilliant.org
- Bloomberg Lectures
- Fundamentals:
Contents
Getting Started
3blue1brown
Explained
Siraj Raval
Gilbert Strang (MIT) - Linear Algebra
Quantum Algorithm