ML - The way the world works - analyzing how things work

A podcast by David Nishimoto

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1058 Episodes

  1. Flutter json deserialization and serialization using future and async methods and http services

    Published: 2/29/2020
  2. Flutters Dart ffi interoperabily communication using webapi

    Published: 2/25/2020
  3. A week coding in dart for flutter

    Published: 2/22/2020
  4. Installing flutter

    Published: 2/15/2020
  5. Reinforced learning

    Published: 2/11/2020
  6. The restrictive boltzmann machine is one of the best deep learning networks

    Published: 2/7/2020
  7. Abiogenic oil - biosphere

    Published: 2/6/2020
  8. Why shale oil reduces trade deficits, increases tax revenue, and decreases inflation

    Published: 2/5/2020
  9. Microsoft ssrs mobile

    Published: 2/1/2020
  10. Technical talk on fuel cell vehicles and hydrogen production as of 2011

    Published: 1/25/2020
  11. Fuel cell based transportation is set to expand a 100 fold in a decade

    Published: 1/25/2020
  12. Ai as a component of edge computing, a case for xnor.ai

    Published: 1/18/2020
  13. What are the ml job opportunities

    Published: 1/11/2020
  14. Global paradox - technology and energy and information

    Published: 12/28/2019
  15. Gemini man

    Published: 12/7/2019
  16. Complex adaptive systems are the future

    Published: 12/5/2019
  17. Why are my gas prices so expensive, all the time? The Tar Sand oil solution

    Published: 12/1/2019
  18. Big coal, nuclear energy, fusion, clean coal, gas prices

    Published: 12/1/2019
  19. Ev semi and trucks versus fuel cell semis and trucks

    Published: 11/23/2019
  20. Cost benefit matrix and confusion matrix

    Published: 11/22/2019

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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