in this Episode I will be talking about the facial recognition for identity. I will explorer the morality of input information as a relates to legal and medical and theological training data sets for the machine

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This episode is sponsored by 
· Anchor: The easiest way to make a podcast.  <a href="https://anchor.fm/s/9da65fc/podcast/sponsor/acugj9/url/https%3A%2F%2Fanchor.fm%2Fapp">https://anchor.fm/app</a>

in this Episode I will be talking about the facial recognition for identity. I will explorer the morality of input information as a relates to legal and medical and theological training data sets for the machine --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

in this Episode I will be talking about the facial recognition for identity. I will explorer the morality of input information as a relates to legal and medical and theological training data sets for the machine

--- 

This episode is sponsored by 
· Anchor: The easiest way to make a podcast.  <a href="https://anchor.fm/s/9da65fc/podcast/sponsor/acugj9/url/https%3A%2F%2Fanchor.fm%2Fapp" rel="noopener noreferrer">https://anchor.fm/app</a>

Ml and facial recognition and where it fits

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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Ml and facial recognition and where it fits

Ml and facial recognition and where it fits