Difference between revisions of "Math for Intelligence"
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* [[Dot Product]] | * [[Dot Product]] | ||
* [http://www.3blue1brown.com/ Animated Math | Grant Sanderson @ 3blue1brown.com] | * [http://www.3blue1brown.com/ Animated Math | Grant Sanderson @ 3blue1brown.com] | ||
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* [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:// | + | * [http://www.kdnuggets.com/2018/09/essential-math-data-science.html Essential Math for Data Science: ‘Why’ and ‘How’ | Tirthajyoti Sarkar] |
| + | * [http://towardsdatascience.com/gentle-dive-into-math-behind-convolutional-neural-networks-79a07dd44cf9 Gentle Dive into Math Behind Convolutional Neural Networks | Piotr Skalski - Towards Data Science] | ||
* [http://triseum.com/variant-limits/ Varient: Limits] | * [http://triseum.com/variant-limits/ Varient: Limits] | ||
| − | * [http:// | + | * [http://developers.google.com/machine-learning/crash-course/prereqs-and-prework Google's Crash Course] |
* [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://brilliant.org/courses/artificial-neural-networks/ Brilliant.org] | ||
* [http://bloomberg.github.io/foml/#lectures Bloomberg Lectures] | * [http://bloomberg.github.io/foml/#lectures Bloomberg Lectures] | ||
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* Fundamentals: | * Fundamentals: | ||
** [http://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/ Linear Algebra | MIT] | ** [http://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/ Linear Algebra | MIT] | ||
** [http://www.khanacademy.org/math/linear-algebra Linear Algebra | Khan Academy] | ** [http://www.khanacademy.org/math/linear-algebra Linear Algebra | Khan Academy] | ||
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** [http://www.khanacademy.org/math/differential-calculus Differential Calculus | Khan Academy] | ** [http://www.khanacademy.org/math/differential-calculus Differential Calculus | Khan Academy] | ||
** [http://www.khanacademy.org/math/multivariable-calculus Multivariable Calculus | Khan Academy] | ** [http://www.khanacademy.org/math/multivariable-calculus Multivariable Calculus | Khan Academy] | ||
Revision as of 06:46, 12 July 2019
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- 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
Josh Starmer - StatQuest
Gilbert Strang (MIT) - Linear Algebra
Quantum Algorithm
Statistics
