dlighted datafit podcast

#1: The history of AI and why we start this podcast - #datafit1

October 26, 2018 Season 1 Episode 1
dlighted datafit podcast
#1: The history of AI and why we start this podcast - #datafit1
Chapters
00:00:00
Our favourite data stories
00:02:30
Who are Tizian and Simon? What are our backgrounds? Our Motivation for the podcast.
00:06:30
Why Tizian founded dlighted and the problem with lawmakers and AI
00:11:00
Our take on being anonymous and public
00:21:00
Differentiation between Machine Learning and AI
00:23:45
The History of AI, Turing test and AI Winter
00:30:00
Will we have a terminator robot’s soon that threaten our lives?
00:32:40
The digital Silk Road
00:40:00
How do you get the most out of the podcast.
dlighted datafit podcast
#1: The history of AI and why we start this podcast - #datafit1
Oct 26, 2018 Season 1 Episode 1
Tizian Kronsbein & Simon Frey
In the first episode of the dlighted datafit podcast, we explain why we start this podcast, what our backgrounds are and what we want to learn and achieve. Moreover, discuss the History of AI und explain the difference between machine learning and artificial intelligence.
Show Notes Chapter Markers

Tizian’s fav data story Strava Data Visualisation Fail

Simon’s Favourite Data Story: Search-engine data gives early warnings of drug side effects

It’s not okay, Mark!

Books by Jeremy Rifkin:

Vice “Third industrial revolution documentary
Do you trust your computer

Books on Machine Learning for Beginners

Follow Tizian on Instagram
Follow Simon on Instagram

You can find more stuff from dlighted as well as the transcribed interviews on our blog: https://medium.com/d-lighted


Our favourite data stories
Who are Tizian and Simon? What are our backgrounds? Our Motivation for the podcast.
Why Tizian founded dlighted and the problem with lawmakers and AI
Our take on being anonymous and public
Differentiation between Machine Learning and AI
The History of AI, Turing test and AI Winter
Will we have a terminator robot’s soon that threaten our lives?
The digital Silk Road
How do you get the most out of the podcast.
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