How do they compare what can you do with either of them ?
I watch movies, do puzzles, love my family and try to keep up with science and technology
Soms vind je een mooie podcast die lekker past in je informatiebubble, deze aflevering van #Triangulation
https://
Gaat over Industries of the future door Alec Ross
Het gaat over vraagstukken op het gebied van: beroepsonderwijs, werkgelegenheid, robotisering en #AI.
De rol van de overheid en hoe we kunnen leren van internet-governance bij het reguleren van Artifical Intelligence.
Met mooie quotes als:
The world's next trilion dollar industry will be created out of our genetic code
Of wat dacht je van deze:
What HTML did for the web is what #blockchain technology will do for high value transactions
De aanleiding van deze aflevering is dit boek : https://
The Future of Cognitive Computing - YouTube https://
Het is niet mens tegen machine, maar mens met machine #machinelearning #watson #ibm
WORKING OUT LOUD: #podcast over technologie (een beetje #machinelearning), mens en organisatie | e-office & work21 https://
The #MOOC: Question Answering Technologies Behind IBM #Watson
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The last couple of weeks I have been following this MOOC
IBM Watson Academy https://
And today I completed the course
This MOOC gives a good understanding of what it takes to build Watson and apply it to different domains.
From the abstraction level it lies between:
Cal Tech's learning from data course: https://
And
IBM's training for Watson Explorer Analytical Components.
The good news is, the UIMA pipeline training can (and will) pay off when you start working with Watson as a cognitive system.
The other news is that language support is still a challenge for smaller language, but than again Analytical Components supports much more languages than Watson Cloud does.
When you want to get inspired, just watch the videos in the epilogue (lecture 9).
While we wait for the official support for Dutch, we will start learning UIMA by using Analytical Components and applying it to dutch text.
Gartner also sees #machinelearning as important part of the future #digitalworkspace
http://
Zeitgeist Minds - The Theory of Everything https://
Stack Overflow heeft al meer dan 10 miljoen vragen ! en nog meer antwoorden http://
The #ama is over, but still a good read about the IBM Chef Watson team, Bon Appétit and the Institute of Culinary Education (ICE). : IAmA https://
Alleen robots mogen solliciteren #machinelearning #ai
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@nath_leigh gaat verder waar @VPROTegenlicht begon, over #machinelearning #ai en toekomst van werk
En let op het gaat om meer soorten werk dan je zou denken.
