Welch Labs | Learning To See [Part 1: Introduction] @WelchLabsVideo | Uploaded 8 years ago | Updated just now
In this series, we'll explore the complex landscape of machine learning and artificial intelligence through one example from the field of computer vision: using a decision tree to count the number of fingers in an image. It's gonna be crazy.
Become a Patron for exclusive perks: patreon.com/welchlabs
Supporting Code: github.com/stephencwelch/LearningToSee
welchlabs.com
@welchlabs
In this series, we'll explore the complex landscape of machine learning and artificial intelligence through one example from the field of computer vision: using a decision tree to count the number of fingers in an image. It's gonna be crazy.
Become a Patron for exclusive perks: patreon.com/welchlabs
Supporting Code: github.com/stephencwelch/LearningToSee
welchlabs.com
@welchlabs
![Learning To See [Part 1: Introduction]](https://i.ytimg.com/vi/i8D90DkCLhI/hqdefault.jpg "Learning To See [Part 1: Introduction]
In this series, well explore the complex landscape of machine learning and artificial intelligence through one example from the field of computer vision: using a decision tree to count the number of fingers in an image. Its gonna be crazy.
Become a Patron for exclusive perks: https://www.patreon.com/welchlabs
Supporting Code: https://github.com/stephencwelch/LearningToSee
welchlabs.com
@welchlabs")
![Imaginary Numbers Are Real [Part 8: Math Wizardry]](https://i.ytimg.com/vi/iecUL8_OxrU/hqdefault.jpg "Imaginary Numbers Are Real [Part 8: Math Wizardry]
More information and resources: http://www.welchlabs.com
Imaginary numbers are not some wild invention, they are the deep and natural result of extending our number system. Imaginary numbers are all about the discovery of numbers existing not in one dimension along the number line, but in full two dimensional space. Accepting this not only gives us more rich and complete mathematics, but also unlocks a ridiculous amount of very real, very tangible problems in science and engineering.
Part 1: Introduction
Part 2: A Little History
Part 3: Cardans Problem
Part 4: Bombellis Solution
Part 5: Numbers are Two Dimensional
Part 6: The Complex Plane
Part 7: Complex Multiplication
Part 8: Math Wizardry
Part 9: Closure
Part 10: Complex Functions
Part 11: Wandering in Four Dimensions
Part 12: Riemanns Solution
Part 13: Riemann Surfaces
Want to learn more or teach this series? Check out the Imaginary Numbers are Real Workbook: http://www.welchlabs.com/resources.")
![Learning to See [Part 7: There is no f]](https://i.ytimg.com/vi/klWUOO4sHaA/hqdefault.jpg "Learning to See [Part 7: There is no f]
In this series, well explore the complex landscape of machine learning and artificial intelligence through one example from the field of computer vision: using a decision tree to count the number of fingers in an image. Its gonna be crazy.
Supporting Code: https://github.com/stephencwelch/LearningToSee
welchlabs.com
@welchlabs")
![Waffles And Harmonic Motion [Part 1]](https://i.ytimg.com/vi/nKavBl1EWiI/hqdefault.jpg "Waffles And Harmonic Motion [Part 1]
In this two part series, we dig into understanding and quantifying simple harmonic motion (SHM). We try to figure our why oscillating systems that move the way they do, and what ideas from physics govern this motion.
I have unapologetically stolen much of my approach from Richard Feynmans wonderful physics lectures: http://www.feynmanlectures.caltech.edu/I_toc.html. The approach presented here was largely borrowed from Feynman chapters 9 and 21. I encourage anyone interesting in going to deeper to read Feynmans lectures.
Supporting code: http://nbviewer.ipython.org/github/stephencwelch/Acoustics-To-Deep-Learning/blob/master/Waffles%20and%20Harmonic%20Motion%20%5BPart%20I%5D.ipynb
It can be forked on github: https://github.com/stephencwelch/Acoustics-To-Deep-Learning
For more on this, see www.welchlabs.com/blog
@stephencwelch")
