Welch Labs | Learning To See [Part 12: Let's Get Greedy] @WelchLabsVideo | Uploaded 7 years ago | Updated 2 hours ago
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.
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.
Supporting Code: github.com/stephencwelch/LearningToSee
welchlabs.com
@welchlabs
![Learning To See [Part 12: Lets Get Greedy]](https://i.ytimg.com/vi/Kg8W_q8pHik/hqdefault.jpg "Learning To See [Part 12: Lets Get Greedy]
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")
![Keplers Laws [Part 2]](https://i.ytimg.com/vi/MprJN5teQxc/hqdefault.jpg "Keplers Laws [Part 2]
Tycho Brahe Doppelmayr Poster: https://www.welchlabs.com/resources/tycho-brahe-doppelmayr-poster-13x15
Tycho Brahe Cellarius Poster: https://www.welchlabs.com/resources/tycho-brahe-cellarius-poster-13x16
Eclipse Posters! https://www.welchlabs.com/resources
This is the second of a two part series - part one here: https://www.youtube.com/watch?v=Phscjl0u6TI&feature=youtu.be
Special thanks to the Patrons:
Juan Benet, Ross Hanson, Yan Babitski, AJ Englehardt, Alvin Khaled, Eduardo Barraza, Hitoshi Yamauchi, Jaewon Jung, Mrgoodlight, Shinichi Hayashi, Sid Sarasvati, Dominic Beaumont, Shannon Prater, Ubiquity Ventures, Matias Forti
Welch Labs
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References
On the Shoulders of Giants: The Great Works of Physics and Astronomy. (2003). Kiribati: Penguin.
Koestler, A. (2017). The Sleepwalkers: A History of Mans Changing Vision of the Universe. United Kingdom: Penguin Books Limited.
https://en.wikipedia.org/wiki/History_of_Mars_observation
https://www.keplersdiscovery.com/index.html
The Cambridge Concise History of Astronomy. (1999). United Kingdom: Cambridge University Press.
Mazer, A. (2011). Shifting the Earth: The Mathematical Quest to Understand the Motion of the Universe. Germany: Wiley.
Voelkel, J. R. (2021). The Composition of Keplers Astronomia Nova. United Kingdom: Princeton University Press.
https://stellarium.org/
Kepler, J. (2015). Astronomia Nova. United States: Green Lion Press.
Stephenson, B. (2012). Kepler’s Physical Astronomy. Switzerland: Springer New York.
Brahe, T., Dreyer, J. L. E. (1972). Tychonis Brahe Dani Opera omnia. Netherlands: Swets & Zeitlinger.
https://dn790003.ca.archive.org/0/items/Astronomianovaa00Kepl/Astronomianovaa00Kepl.pdf
Feynman Lecture on Gravity: https://www.feynmanlectures.caltech.edu/I_07.html")
![Imaginary Numbers Are Real [Part 3: Cardans Problem]](https://i.ytimg.com/vi/N9QOLrfcKNc/hqdefault.jpg "Imaginary Numbers Are Real [Part 3: Cardans Problem]
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.")
![The Most Useful Curve in Mathematics [Logarithms]](https://i.ytimg.com/vi/OjIwCOevUew/hqdefault.jpg "The Most Useful Curve in Mathematics [Logarithms]
This video’s sponsor Brilliant is a great way to learn more. You can try Brilliant for free for thirty days by visiting https://brilliant.org/WelchLabs and the first 200 subscribers receive 20 percent off Brilliants annual premium subscription.
Special thanks to the Patrons:
Juan Benet, Ross Hanson, Yan Babitski, AJ Englehardt, Alvin Khaled, Eduardo Barraza, Hitoshi Yamauchi, Jaewon Jung, Mrgoodlight, Shinichi Hayashi, Sid Sarasvati
Welch Labs
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Amazon Logarithms Reading List: https://www.amazon.com/shop/welchlabs
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References
The History of Mathematical Tables: From Sumer to Spreadsheets - Martin Campbell-Kelly
Navigation - James Pryde
e: the story of a number - Eli Maor
Description of the Wonderful Canon of Logarithms - John Napier
Construction of the Wonderful Canon of Logarithms - John Napier
Arithmetical Logarithmica - Henry Briggs, translated by Ian Bruce https://www.17centurymaths.com/contents/albriggs.html
The Daring Invention of Logarithm Tables - Klaus Truemper
Henry Briggs MacTutor: https://mathshistory.st-andrews.ac.uk/Biographies/Briggs/
A reconstruction of the tables of Briggs’ Arithmetica logarithmica - Denis Roegel
A reconstruction of the tables of Napier’s descriptio (1614) - Denis Roegel
The HP-35 Design, A Case Study in Innovation - David S. Cochran https://www.hpmemoryproject.org/wb_pages/d_cochran_01.htm
The Polyphase Slide Rule A Self Teaching Manual - William E. Breckenridge
When Slide Rules Ruled - Cliff Stoll")
