Dataconomy

OCTOBER 14, 2018

In today’s IT world, everything is about being fast, flexible and efficient. We work agile, build prototypes and use fast-scaling adoptive cloud infrastructure. At the same time, the advances in the fields of AI and machine learning seem to make a business world possible, in which many tasks are optimized. The post How learning processes in Artificial intelligence (AI) can improve business decisions appeared first on Dataconomy.

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Machine Learning World

OCTOBER 17, 2018

One man said “To become a genius you need to learn new thing every day”. So instead watching stupid TV-shows, TV-series or new SUPER DUPER BLOCKBUSTER with 3 lines of scenario, it’s much better to spent this time on learning something new. That’s where popular science do her job :) So thanks to my friends, we gathered list of YouTube channels that we are watching in a free time, and which are pretty cool: Kurzgesagt — In a Nutshell 3Blue1Brown Physics Videos by Eugene Khutoryansky acapellascienc

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Machine Learning Machine Learning 52

Christian Haschek

OCTOBER 19, 2018

As a geek who has a few servers and other devices at home I can't stop thinking about my power out

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Dataconomy

OCTOBER 17, 2018

The cart before the horse? What are we talking about: You have the perfect scenario in front of you. You or your team just learnt about an exciting way to analyse data, found a new data-source that looks very promising, or were impressed by a new data visualisation tool. Understandably, The post The cart before the horse in data-science projects: back to basics appeared first on Dataconomy.

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Data Science Big Data Big Data Artificial Intelligence 191

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Dataconomy

OCTOBER 19, 2018

The data necessary to account for every aspect of our human complexity poses significant challenges to health AI systems. There’s certainly no way around data science to get a hold of it – but don’t you count physicians out too soon! Precision Medicine bears the promise to bring highly individualized. The post Is your Precision Medicine AI ready for the Bio-Psycho-Socio-Cultural Patient?

Data Science 161

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