1058 Episoder

  1. The euro crisis of 2022

    Udgivet: 8.8.2023
  2. Housing price predictions and foreign investment trends and fed interest rate policy and election yr

    Udgivet: 8.8.2023
  3. Why ahl84001 does not prove conclusively life on mars

    Udgivet: 6.8.2023
  4. Anomaly detection - Finding knn outliers in data part 3

    Udgivet: 4.8.2023
  5. Svg fails and congress fails to blame the fed for raising interest rates so fast

    Udgivet: 4.8.2023
  6. WHY ARE BOND YIELDS THE MEASURE OF WRITEDOWNS FOR CENTRAL BANKS

    Udgivet: 3.8.2023
  7. A tornado in space - Herbig-Haro 46/47

    Udgivet: 3.8.2023
  8. Anomaly detection using multi variant data and isolation forests part 3

    Udgivet: 3.8.2023
  9. Anomaly detection using boxplots , z scores, mad and isolation forest part 2

    Udgivet: 2.8.2023
  10. Anomaly detection using machine learning isolation forest and z scores part 1

    Udgivet: 1.8.2023
  11. Betelgeuse will not explode but it will become bigger and eventually become a black hole

    Udgivet: 31.7.2023
  12. Healing through Christ - Emotional distance can be reversed

    Udgivet: 30.7.2023
  13. Blue stars, why fusion and gravity can explain luminosity consistently

    Udgivet: 30.7.2023
  14. why do we need big bang if matter and space, itself are infinite

    Udgivet: 28.7.2023
  15. Durham astronomer discover a black hole with 30 billion times the mass of the sun

    Udgivet: 28.7.2023
  16. Hydrinos formed plasma and magnetohydrodynamic converters

    Udgivet: 27.7.2023
  17. Grand Canyon and Mars Valles Marineris are an electrical arc scar from a nearby planet

    Udgivet: 27.7.2023
  18. Why have the discovery of black holes become so important to the electric universe proponents

    Udgivet: 27.7.2023
  19. The earths Grand Canyon and mars Valles Marineris were plasma events created by a near earth object

    Udgivet: 21.7.2023
  20. The ngc 7319 quasar red shift paradox

    Udgivet: 20.7.2023

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Machine learning is the most important technological breakthrough in the 21st century. Listen to my views on the future of machine learning. Code demonstrations on YouTube under my channel David Nishimoto

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