Welch Labs | How to Science [Part 5: Mathematics] @WelchLabsVideo | Uploaded 6 years ago | Updated 4 hours ago
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pdf: http://www.welchlabs.com/guides
support welch labs:
patreon.com/welchlabs
music:
premiumbeat.com/royalty-free-tracks/jazz-manouche-forever
premiumbeat.com/royalty-free-tracks/out-of-the-wood
spremiumbeat.com/royalty-free-tracks/among-the-hills
![How to Science [Part 5: Mathematics]](https://i.ytimg.com/vi/sTSNTWKGkbw/hqdefault.jpg "How to Science [Part 5: Mathematics]
pdf: http://www.welchlabs.com/guides
support welch labs:
https://www.patreon.com/welchlabs
music:
https://www.premiumbeat.com/royalty-free-tracks/jazz-manouche-forever
https://www.premiumbeat.com/royalty-free-tracks/out-of-the-wood
shttps://www.premiumbeat.com/royalty-free-tracks/among-the-hills")
![Learning to See [Part 4: Machine Learning]](https://i.ytimg.com/vi/sarVw-iVWgc/hqdefault.jpg "Learning to See [Part 4: Machine Learning]
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")
![Learning To See [Part 14: Better Heuristics]](https://i.ytimg.com/vi/tPHImr2sFBM/hqdefault.jpg "Learning To See [Part 14: Better Heuristics]
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")
![Learning To See [Part 9: Bias Variance Throwdown]](https://i.ytimg.com/vi/yLwZEuybaqE/hqdefault.jpg "Learning To See [Part 9: Bias Variance Throwdown]
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")
![Self-Driving Cars [S1E3: AI Failure?]](https://i.ytimg.com/vi/yaYER2M8dcs/hqdefault.jpg "Self-Driving Cars [S1E3: AI Failure?]
PATREON: https://www.patreon.com/welchlabs
TWITTER: @welchlabs
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CODE: https://github.com/stephencwelch/self_driving_cars
FURTHER READING + REFEERENCES
For a bayesian approach to the same reliability testing math: https://stats.stackexchange.com/questions/73645/how-do-you-derive-the-success-run-theorem-from-the-traditional-form-of-bayes-the
Rand Report: https://www.rand.org/pubs/research_reports/RR1478.html
Zeiler and Fungus 2013: https://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: https://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: https://arxiv.org/abs/1604.07316
Way ChauffeurNet: https://arxiv.org/abs/1812.03079
VIDEO REFERENCES
Amnon Shashua Talk: https://www.youtube.com/watch?v=GCMXXXmxG-I
NAVLAB: https://www.youtube.com/watch?v=rV0H7u6tmIk
MUSIC
https://www.premiumbeat.com/royalty-free-tracks/jazz-manouche-forever
https://www.premiumbeat.com/royalty-free-tracks/out-of-the-woods
https://www.premiumbeat.com/royalty-free-tracks/wanderer
SPECIAL THANKS TO
Tony Fast
Krish Ravindranath
Karthik Naga
Alex Mones
Michael Grabchak
- AND -
Sid Sarasvati
Ross Hanson
Vin Soma
Antoine Pintout
Jaewon Jung
Raphael J Vasquez
AJ Englehardt
Nate Fuller
Hitoshi Yamauchi")
