AI, ML, VR, IoT, DL, AR, BD…what are we talking about when we talk about our techno-sphere? In recent conversations, the language we use when speaking about, speaking for or speaking against our mechanical offspring has come into question. “Do machines learn?” is a core inquiry. This Café hones in on machine learning, though no machine can predict how our chefs will concoct this conversation.

Let us become virtuosos of the virtual vocabulary; gain a mental mechanics mastery of machine learning nomenclature; put the techne back in technology; get the DL on Deep Learning dialogue.

Reading / Watching / Listening

SAS – Machine Learning – A Primer

Though listed as 53 pages, this is a quick read and is relatively light material. The content will surely ignite our inner gears into contemplation mode.

Seed Questions

• Do we agree with SAS’s primer on Machine Learning? (What do you like, dislike, want more of?)
• Do machines learn? Are machines creative or independently intelligent?
• How do we determine if machine learning algorithms or methods are being applied appropriately to the problem at hand? Does the algorithm accurately predict future events or result
  in desired outcomes?
• Education: STEM, STEAM or The Four C’s?
• (add in inquiries)

Context, Backstory, and Related topics

• SAS Institute Wiki Page
• https://en.wikipedia.org/wiki/Death_of_Elaine_Herzberg)
• MUTATIONS Podcast: Jeremy Johnson & J.F. Martel on Thinking Virtual with Deleuze and Past Presence with Bergson – great podcast; strong parallels to our previous Café –Onset of Outsight

Agenda items

-TBD

machine \mə-ˈshēn\ a mechanically, electrically, or electronically operated device for performing a task.

learning \ˈlərniNG\ the activity or process of gaining knowledge or skill by studying, practicing, being taught, or experiencing something.