Difference between revisions of "Math for Intelligence"
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* [http://www.3blue1brown.com/ Animated Math | Grant Sanderson @ 3blue1brown.com] | * [http://www.3blue1brown.com/ Animated Math | Grant Sanderson @ 3blue1brown.com] | ||
| + | * [http://developers.google.com/machine-learning/crash-course/prereqs-and-prework Google's Crash Course] | ||
* [http://machinelearningmastery.com/introduction-matrices-machine-learning/ Introduction to Matrices and Matrix Arithmetic for Machine Learning | Jason Brownlee] | * [http://machinelearningmastery.com/introduction-matrices-machine-learning/ Introduction to Matrices and Matrix Arithmetic for Machine Learning | Jason Brownlee] | ||
* [http://brilliant.org/courses/artificial-neural-networks/ Brilliant.org] | * [http://brilliant.org/courses/artificial-neural-networks/ Brilliant.org] | ||
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* [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] | ||
* [http://neuralnetworksanddeeplearning.com/index.html Neural Networks and Deep Learning - online book | Michael A. Nielsen] | * [http://neuralnetworksanddeeplearning.com/index.html Neural Networks and Deep Learning - online book | Michael A. Nielsen] | ||
| − | * [ | + | * [http://bloomberg.github.io/foml/#lectures Bloomberg Lectures] |
| − | + | * Fundamentals: | |
| + | ** [http://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/ Linear Algebra] | ||
| + | ** [http://www.khanacademy.org/math/statistics-probability Stats and Probability] | ||
| + | ** [http://www.khanacademy.org/math/differential-calculus Differential Calculus] | ||
| + | ** [http://www.khanacademy.org/math/multivariable-calculus Multivariable Calculus] | ||
== Getting Started == | == Getting Started == | ||
<youtube>V7xvqfIEDXk</youtube> | <youtube>V7xvqfIEDXk</youtube> | ||
<youtube>PXwStduNw14</youtube> | <youtube>PXwStduNw14</youtube> | ||
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== 3blue1brown == | == 3blue1brown == | ||
Revision as of 04:47, 13 December 2018
YouTube search... ...Google search
- Animated Math | Grant Sanderson @ 3blue1brown.com
- Google's Crash Course
- Introduction to Matrices and Matrix Arithmetic for Machine Learning | Jason Brownlee
- Brilliant.org
- Varient: Limits
- Probability Cheatsheet
- Neural Networks and Deep Learning - online book | Michael A. Nielsen
- Bloomberg Lectures
- Fundamentals:
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