Difference between revisions of "Math for Intelligence"
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* [http://triseum.com/variant-limits/ Varient: Limits] | * [http://triseum.com/variant-limits/ Varient: Limits] | ||
* [http://static1.squarespace.com/static/54bf3241e4b0f0d81bf7ff36/t/55e9494fe4b011aed10e48e5/1441352015658/probability_cheatsheet.pdf Probability Cheatsheet] | * [http://static1.squarespace.com/static/54bf3241e4b0f0d81bf7ff36/t/55e9494fe4b011aed10e48e5/1441352015658/probability_cheatsheet.pdf Probability Cheatsheet] | ||
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| + | <youtube>V7xvqfIEDXk</youtube> | ||
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== 3blue1brown == | == 3blue1brown == | ||
Revision as of 21:34, 8 December 2018
- Animated Math | Grant Sanderson @ 3blue1brown.com
- http://machinelearningmastery.com/introduction-matrices-machine-learning/ Introduction to Matrices and Matrix Arithmetic for Machine Learning | Jason Brownlee]
- Brilliant.org
- Varient: Limits
- Probability Cheatsheet
3blue1brown
Explained
- 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
Quantum Algorithm