Machine Learning

Teaching a deep learning keras network how to play the nchain game --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Strategies for lstm and keras and reinforced learning in business

Every software company should periodically reevaluate its products to determine if it is getting the breadth of offerings right. The danger is bundling weak products with strong ones and not improving them. “Horizontal markets can require enormous investment and skill to master.” “Once a company has crossed the chasm into the Early Majority with at least a niche product, it can be used as base to expand into other segments.” Look for related segments to leverage the technology expansion. Increasing sales force during the Early adopters is not preferred, because early adopters are not a strong reference source. The tipping point is 10 percent market acceptance. --- Send in a voice message: https://anchor.fm/david-nishimoto/message

The Consumer Price Index is sliced into the following percentages : 1% Tobacco , 3% Personal Care , 5% Apparel , 5% Medical Care , 6% Education , 6% Recreation , 16% Food and beverage , 18% Transportation , and 40% Housing . --- Send in a voice message: https://anchor.fm/david-nishimoto/message

The idea for business --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Stirling engines are cost competitive with other small generator technologies, up to about 100 kW. The Stirling engine is externally heated, usually by combustion, to warm a gas that drives either pistons connected to a rotating power shaft or oscillating pistons that are supported by mechanical springs and gas bearings. Targeting the residential cogeneration market, many are packaging Stirlings as electric furnace or boiler replacements. Stirling cogeneration is popular in Europe. --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Boston has become popular in kaggle competitions but is it better than logistic regression --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Predicting the likelihood of patient readmission saves money --- Send in a voice message: https://anchor.fm/david-nishimoto/message

An exploratory project to build a general purpose robot brain. https://e2eml.school/robot_brain_project.html --- Send in a voice message: https://anchor.fm/david-nishimoto/message

This weeks recap --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Growth and productivity in America will continue to remain stable varying between 2.8 to 3 percent, for the next ten years. The economic forecast for the next ten years looks promising. World productivity remain positive and no significant deterents are preventing a sustained growth pattern. --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Working to create a search engine --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Technology has been condemned as the spoiler of the garden and yet embraces, on the other hand, as necessary too getting back to nature. Technology distills or amplifies certain interpretative aspects of the natural world. --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Searching and finding is an intelligence measurement --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Teaching a robot to work can be much simpler to train than a human. For example, a welding robot can be shown by a master welder a manual technique procedure and the robot can repeat the technique perfectly after with. Robots can learn skills that take humans years to learn. --- Send in a voice message: https://anchor.fm/david-nishimoto/message

But why do companies stick with such devotion to a course that is obviously self-destructive?”: Subborness, intensive rivalry, companyism, inescapable defeat or retreat phobias, nationalism, correction action did not occur because the situation did not become painful enough, and consensus from the group they were doing the right thing. “Companyism get much of its strength from this consensus-building mechanism”. All must suffer visible before corrective action will occur. “Maintaining the customer relationship through good service is now the key to success”. Measurement counts. Measure the powerful and often invisible influences on what you think and do. --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Will a robot know how to choose good over evil? A robot will not know how to choice good and evil because it can not sense a higher purpose and morality, so its actions will not follow a higher purpose. --- Send in a voice message: https://anchor.fm/david-nishimoto/message

I talk about this weeks work completed and what I am learning in data science --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Once the first powerful machine, with intelligence similar to that of a human, is switched on, we will most likely not get the opportunity to switch it back off. --- Send in a voice message: https://anchor.fm/david-nishimoto/message

Ritchie says to Kismet, “I want to show you this watch my girlfriend gave me.” Kismet dutifully looks at the watch. Kismet was picking up on the social clues and the directions of attention. When Ritchie brought the watch into Kismets center of view, a few inches below his face where Kismet was foveated and when he brought his index finger up and tapped the watch the motion actived Kismets attention system and Kismet maintained eye contact with the watch. Eventually, Kismets attention system decided Ritchie’s face was more interesting and looked back at the eyes of Ritchie. There is nothing qualitatively different from the mechanism in Ghenhis. --- Send in a voice message: https://anchor.fm/david-nishimoto/message