Is data science being inherently messy a bad thing?

Is data science being inherently mess a bad thing? Some think maybe not.

AI is changing the future of science, a doctor shares how AI can improve doctor/patient relationships, and blind users can now explore images with Microsofts new seeing AI.

Get the rest of the latest news in AI, Data Science & Deep Learning below.

And as always to make sure you never miss out on the latest from Sundog Education – follow us on Facebook, Twitter, and LinkedIn. Or join one of our free Facebook Groups.

Here are some highlights from the past couple of weeks:

How Artificial Intelligence Is Changing Science


Data is inherently messy. Is that really such a bad thing?


Adthena raises $14 million to analyze ad campaigns with AI


Smart speakers and bakeware added to UK inflation basket | Business


AI robotic perception system can recognize objects by touching them

Why Data Science Teams Should Operate like Startups


A Doctor Explains how Artificial Intelligence Could Improve the Patient-Doctor Bond


Machine Learning Can Boost the Value of Wind Energy


Facial recognition’s ‘dirty little secret’: Millions of online photos scraped without consent


Blind users can now explore photos by touch with Microsoft’s Seeing AI


I hope you find these resources helpful. And as always thank you for having me along on your learning journey.

– Frank Kane

Published by

Frank Kane

Our courses are led by Frank Kane, a former Amazon and IMDb developer with extensive experience in machine learning and data science. With 26 issued patents and 9 years of experience at the forefront of recommendation systems, Frank brings real-world expertise to his teaching. His ability to explain complex concepts in accessible terms has helped over one million students worldwide gain valuable skills in machine learning, data engineering, and AI development.

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