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#2 Learning with Artificial Intelligence: Marc Zao-Sanders

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Content provided by Lloyd Dean. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lloyd Dean or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Some key terms arise when discussing AI. Lots of people will use words such as machine learning, deep learning, algorithms and AI interchangeably. Not having a rough idea of what each term really means can have consequences when we expect results. So what does each term really mean? Firstly, I’m no expert on this topic and I’d suggest that you seek to understand from those who are - namely through an organisation like Filtered. They’ve created a brief quiz of 7 questions to gauge our collective understanding of the terms and providing a completion document at the end of the document which is useful. Rather than regurgitate work that is already done, I’d steer you towards Marc’s article on the differences between each term and branch out from some of his links. For me, I’m much more inquisitive when an organisation talks about their great algorithm and am becoming much more interested in understanding deep learning and it’s potential benefits. For more, check out www.lloyddean.co.uk
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18 episoade

Artwork
iconDistribuie
 
Manage episode 212609839 series 2397066
Content provided by Lloyd Dean. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lloyd Dean or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Some key terms arise when discussing AI. Lots of people will use words such as machine learning, deep learning, algorithms and AI interchangeably. Not having a rough idea of what each term really means can have consequences when we expect results. So what does each term really mean? Firstly, I’m no expert on this topic and I’d suggest that you seek to understand from those who are - namely through an organisation like Filtered. They’ve created a brief quiz of 7 questions to gauge our collective understanding of the terms and providing a completion document at the end of the document which is useful. Rather than regurgitate work that is already done, I’d steer you towards Marc’s article on the differences between each term and branch out from some of his links. For me, I’m much more inquisitive when an organisation talks about their great algorithm and am becoming much more interested in understanding deep learning and it’s potential benefits. For more, check out www.lloyddean.co.uk
  continue reading

18 episoade

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