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With Kathryn Hume (Dir. Mktg, Fast Forward Labs).
Tuesday, April 25, 2017 at 06:00 PM    Cost: $40
Blender Workspace, 35 Madison Ave, 8th Fl
 
     
 
 
              

      
 
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Explain It Like I'm Five: What's the Difference Between AI, Machine Learning, NLP, & Deep Learning About This Workshop The followingsimple question, about a very complicated topic, was posted by a User last yearonQuora:

'What is the difference between AI, Machine Learning, NLP (Natural Language Processing), & Deep Learning?I have read pretty much all articles on these. But I fail to understand the fundamental differences. Please explain the differences to me like I'm a five year old.Help is much appreciated. Thanks!' -- Quora member

The answers came pouring in from engineers, AI experts, data scientists, professors, entrepreneurs, & futurists alike. Most of the answers went into great detail & offered clear distinctions between these four branches of cognitive computing. However, though the answers may have been technically correct, a person could easily walk away from reading the Quora post just asconfused about this topic as they were before reading it(and a 5-year old wouldn't stand a chance of understanding this).Check out the post for yourselfhere.

So, what exactlyisthe difference between AI, Machine Learning, NLP, & Deep Learning?Clearly, there's more to understanding these technologiesthan what can be gleaned from wikipedia, the dictionary, or Quora.

JOIN USfor thisinformative, interactive workshop featuring guest presenter,Kathryn Hume(Director of Sales & Marketing atFast Forward Labs, a leading machine intelligence research company), where we will explore the similarities & differences betweenAI, Machine Learning, NLP, & Deep Learning. Kathryn,who also teaches law school courses about how new technologies are transforming legal practice & ethics, & is an intellectual historian, will help attendeesto get a handle on understandingthese technologies, their underlying concepts, the latest research & developments, & their use cases.

Takeaways Get a crystal clear understanding of the distinctions between these fast-developing branches of cognitive computing. Participate in thought-provoking discussions about how they mightimpact society.Participate in a group thought-experiment that will allow you to explore the problems scientists & technologists are trying to solve in these fields. And meet cool people from all walks of life who are just as curious about this topic as you are. You'll also get to ask Kathryn (an expert in these fields) questions (Quora be damned!).

Prerequisites No technical or coding background required. This is anon-technicalworkshop meant for everyone: marketers, advertisers, developers, engineers, product managers, investors, data analysts, students, policy wonks -- all are welcome!

Guest Presenter

Kathryn Hume, Director of Sales & Marketing, Fast Forward Labs

Kathryn (@HumeKathryn) is a highly analytical sales & marketing professional with exceptional networking, interpersonal & business development skills. Rare foreign language ability (7 languages) & creativity mapping new technologies to business problems across verticals & sectors.

AtFast Forward Labs, Kathryn helps organizations accelerate their data science & machine intelligence capabilities. Every quarter theyprofile a different near future technology, producea report on its development, & a prototype demonstrating its application.

Kathryn is also a respected speaker & often gives talks at events around the world on machine intelligence.

Our Awesome WorkshopSponsor Blender (@blenderspace) is an upscale, boutique workspace in trendy NoMad, Manhattan. Designed to promote workplace fluidity & focus, Blender offers cultivated workshops, speaker series', lifestyle & wellness events customized for all members.
The event space is also perfect for special events of different varieties, with custom-made lighting & furnishings. View photos of the spaceHERE.

***For all guests attending the event, Blender is offering one month free of a 6 month lease.***
 
 
 
 
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