Difference between revisions of "Math for Intelligence"
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| + | * [[Statistics for Intelligence]] | ||
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* [[Causation vs. Correlation]] | * [[Causation vs. Correlation]] | ||
* [[Dot Product]] | * [[Dot Product]] | ||
Revision as of 06:30, 11 July 2019
YouTube search... ...Google search
- Statistics for Intelligence
- Math for Intelligence
- Causation vs. Correlation
- Dot Product
- 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
- Statistical Learning | T. Hastie, R. Tibshirani - Stanford
- Essential Math for Data Science: ‘Why’ and ‘How’ | Tirthajyoti Sarkar
- Gentle Dive into Math Behind Convolutional Neural Networks | Piotr Skalski - Towards Data Science
- Fundamental Statistics Jupyter Notebook | Jon Tupitza
- Fundamentals:
Contents
Getting Started
3blue1brown
Explained
Siraj Raval
Josh Starmer - StatQuest
Gilbert Strang (MIT) - Linear Algebra
Quantum Algorithm
Statistics
