Math for Intelligence

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• Statistics 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:
  • Linear Algebra | MIT
  • Linear Algebra | Khan Academy
  • Statistics and Probability | Khan Academy
  • Differential Calculus | Khan Academy
  • Multivariable Calculus | Khan Academy

3blue1brown

• Animated Math | Grant Sanderson @ 3blue1brown.com
  • Essence of linear algebra
  • Essence of calculus

Josh Starmer - StatQuest

• StatQuest

Gilbert Strang (MIT) - Linear Algebra

• MIT Open Courseware - Linear Algebra
• Gilbert Strang's Books
• YouTube Playlist