Difference between revisions of "Math for Intelligence"
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<youtube>pYxNSUDSFH4</youtube> | <youtube>pYxNSUDSFH4</youtube> | ||
| + | == Gilbert Strang (MIT) - Linear Algebra == | ||
| + | * [http://www.amazon.com/s/ref=nb_sb_noss_2?url=search-alias%3Daps&field-keywords=Gilbert+Strang++Linear+Algebra Gilbert Strang's Books] | ||
| + | * [http://www.youtube.com/watch?v=hNDFwVVKVk0&list=PL221E2BBF13BECF6C YouTube Playlist] | ||
| − | + | <youtube>ZK3O402wf1c</youtube> | |
| + | <youtube>gGYcSjrqbjc</youtube> | ||
== Quantum Algorithm == | == Quantum Algorithm == | ||
<youtube>LhtnECml-KI</youtube> | <youtube>LhtnECml-KI</youtube> | ||
Revision as of 03:39, 13 December 2018
- Animated Math | Grant Sanderson @ 3blue1brown.com
- Introduction to Matrices and Matrix Arithmetic for Machine Learning | Jason Brownlee
- Brilliant.org
- Varient: Limits
- Probability Cheatsheet
Contents
Getting Started
3blue1brown
Explained
Dot Product
- http://en.wikipedia.org/wiki/Dot_product Dot Product | Wikipedia]
Dot Product =
- Algebraically, the dot product is the sum of the products of the corresponding entries of the two sequences of numbers.
- Geometrically, it is the product of the Euclidean magnitudes of the two vectors and the cosine of the angle between them.
Siraj Raval
Josh Starmer - StatQuest
Gilbert Strang (MIT) - Linear Algebra
Quantum Algorithm