SPECIAL THANKS TO Tony Fast Krish Ravindranath Karthik Naga Dean Pomerleau
- And - Sid Sarasvati Ross Hanson Yana Chernobilsky Vin Soma Antoine Pintout Jaewon Jung Raphael J Vasquez AJ Englehardt Nate FullerOppenheimers Gamble - The Plutonium CrisisWelch Labs2023-07-22 | Oppenheimer reading list amazon.com/shop/welchlabs
Errata Thank to Ferenci Tamás for catching an error - the image shown at 5:00 is not of the lensed implosion bomb but a later 72-block Y-1222 design.Oppenheimer reading list book 10. Full list at www.amazon.com/shop/welchlabsWelch Labs2023-07-19 | ...Oppenheimer reading list book 9. Full list at www.amazon.com/shop/welchlabsWelch Labs2023-07-17 | ...Oppenheimers Apocalypse MathWelch Labs2023-07-16 | References Los Alamos Report 602: sgp.fas.org/othergov/doe/lanl/docs1/00329010.pdf The bomb - the end of the world? http://large.stanford.edu/courses/2015/ph241/chung1/docs/buck.pdf Ultimate Catastrophe? tandfonline.com/doi/abs/10.1080/00963402.1976.11455623?journalCode=rbul20
Welch Labs patreon.com/welchlabs tiktok.com/@welchlabs welchlabs.comOppenheimer reading list book 8. Full list at www.amazon.com/shop/welchlabsWelch Labs2023-07-15 | ...Oppenheimer reading list book 7. Full list at www.amazon.com/shop/welchlabsWelch Labs2023-07-15 | ...Oppenheimer reading list book 7. Full list at www.amazon.com/shop/welchlabs. #oppenheimerWelch Labs2023-07-15 | ...Oppenheimer reading list book 6. Full list at www.amazon.com/shop/welchlabsWelch Labs2023-07-13 | ...#oppenheimer #readinglist #book number five. Full list at www.amazon.com/shop/welchlabs.Welch Labs2023-07-12 | ...Oppenheimer reading list book number four. #oppenheimerWelch Labs2023-07-11 | ...July 10, 2023Welch Labs2023-07-10 | ...Oppenheimer reading list book number two.Welch Labs2023-07-10 | ...A speck of matter god did not welcome into creationWelch Labs2023-07-08 | TECHNICAL FOOTNOTE Plutonium has been discovered in trace amounts in nature under highly unusual geologic circumstances: epa.gov/radiation/radionuclide-basics-plutonium#plutoniumsources
LINKS Oppenheimer reading list: amazon.com/shop/welchlabs Patreon: patreon.com/welchlabs TikTok: tiktok.com/@welchlabs Other Stuff: welchlabs.comOppenheimer reading list part one: The Making of the Atomic Bomb by Richard RhodesWelch Labs2023-07-08 | ...Bohr solves mystery; invents bombWelch Labs2023-07-01 | Niels Bohr’s hater-inspired flash of insight lead him to the perfect material to build the atomic bomb.
FURTHER READING + REFEERENCES For a bayesian approach to the same reliability testing math: stats.stackexchange.com/questions/73645/how-do-you-derive-the-success-run-theorem-from-the-traditional-form-of-bayes-the Rand Report: rand.org/pubs/research_reports/RR1478.html Zeiler and Fungus 2013: arxiv.org/abs/1311.2901 WHO top 10 causes of death: https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death WHO injuries and violence facts: https://apps.who.int/iris/bitstream/handle/10665/44288/9789241599375_eng.pdf%3Bjsessionid=7558B4BDC59A52BB94AEC68A0AD79EE8?sequence=1 Bojarski et al: arxiv.org/abs/1704.07911 Dean Pomerleau: http://www.cs.cmu.edu/~bhamner/neuralNetworksProject/pomerleau_dean.pdf Dean Pomerleau: https://www.ri.cmu.edu/pub_files/pub3/pomerleau_dean_1991_1/pomerleau_dean_1991_1.pdf Dean Pomerleau: https://www.ri.cmu.edu/publications/life-in-the-fast-lane-the-evolution-of-an-adaptive-vehicle-control-system/ Nvidia End to End: arxiv.org/abs/1604.07316 Way ChauffeurNet: arxiv.org/abs/1812.03079
SPECIAL THANKS TO Tony Fast Krish Ravindranath Karthik Naga Charles Young Chang Lee Mathew Turk
- And - Vin Soma Raphael J Vasquez Nate FullerHow to Science [Part 6: Secret Math in Your Brain]Welch Labs2018-03-22 | supporting pdf: http://www.welchlabs.com/guides
A special thanks to Charles Young for all his fantastic help with the motion rig. Thanks to Joan and Alison Young for cutting out an absolutely amazing ransom note.
welchlabs.com @welchlabsLearning To See [Part 14: Better Heuristics]Welch Labs2017-04-01 | 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.
welchlabs.com @welchlabsLearning To See [Part 13: Heuristics]Welch Labs2017-03-18 | 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.
welchlabs.com @welchlabsLearning To See [Part 12: Lets Get Greedy]Welch Labs2017-03-04 | 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.
welchlabs.com @welchlabsLearning to See [Part 11: Haystacks on Haystacks]Welch Labs2017-02-18 | 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.
welchlabs.com @welchlabsLearning to See [Part 10: World Domination]Welch Labs2017-02-04 | 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.
welchlabs.com @welchlabsLearning To See [Part 9: Bias Variance Throwdown]Welch Labs2017-01-21 | 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.
welchlabs.com @welchlabsLearning to See [Part 8: More Assumptions...Fewer Problems?]Welch Labs2017-01-07 | 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.
welchlabs.com @welchlabsLearning to See [Part 7: There is no f]Welch Labs2016-12-24 | 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.
welchlabs.com @welchlabsLearning To See [Part 6: Its Definitely Time to Play with Legos]Welch Labs2016-12-10 | 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.
welchlabs.com @welchlabsLearning to See [Part 5: To Learn is to Generalize]Welch Labs2016-11-26 | 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.
welchlabs.com @welchlabsLearning to See [Part 4: Machine Learning]Welch Labs2016-11-12 | 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.
welchlabs.com @welchlabsLearning To See [Part 3: Now I R1]Welch Labs2016-10-28 | 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.
welchlabs.com @welchlabsLearning To See [Part 2: Rules on Rules on Rules]Welch Labs2016-10-15 | 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.
Code available soon. welchlabs.com @welchlabsImaginary Numbers Are Real [Part 13: Riemann Surfaces]Welch Labs2016-09-03 | Want to learn more or teach this series? Check out the Imaginary Numbers are Real Workbook: http://www.welchlabs.com/resources.
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: Cardan's Problem Part 4: Bombelli's 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: Riemann's Solution Part 13: Riemann Surfaces
Special thanks to the fantastic Charles Jackson Young for helping me get the motion rig done in time for this video. You Rock!
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: Cardan's Problem Part 4: Bombelli's 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: Riemann's Solution Part 13: Riemann Surfaces
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: Cardan's Problem Part 4: Bombelli's 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: Riemann's Solution Part 13: Riemann Surfaces
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: Cardan's Problem Part 4: Bombelli's 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: Riemann's 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 1: Introduction]Welch Labs2016-04-15 | 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.
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: Cardan's Problem Part 4: Bombelli's 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: Riemann's Solution Part 13: Riemann Surfaces
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: Cardan's Problem Part 4: Bombelli's 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: Riemann's Solution Part 13: Riemann Surfaces