Math for Intelligence

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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:
  • Linear Algebra | MIT
  • Linear Algebra | Khan Academy
  • Differential Calculus | Khan Academy
  • Multivariable Calculus | Khan Academy

3blue1brown

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

Gilbert Strang (MIT) - Linear Algebra

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

Quantum Algorithm

• Quantum Computing for English Majors | John Horgan - Scientific American
• Quantum Algorithm Implementations for Beginners | Patrick J. Coles, Stephan Eidenbenz, Scott Pakin, Adetokunbo Adedoyin, John Ambrosiano, Petr Anisimov, William Casper, Gopinath Chennupati, Carleton Coffrin, Hristo Djidjev, David Gunter, Satish Karra, Nathan Lemons, Shizeng Lin, Andrey Lokhov, Alexander Malyzhenkov, David Mascarenas, Susan Mniszewski, Balu Nadiga, Dan O'Malley, Diane Oyen, Lakshman Prasad, Randy Roberts, Phil Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter Swart, Marc Vuffray, Jim Wendelberger, Boram Yoon, Richard Zamora, Wei Zhu