Jay van Zyl @ ecosystem.Ai

Jay van Zyl @ ecosystem.Ai

AI And Machine Learning For Cybersecurity: Friend And Foe? – MinuteHack (blog)

MinuteHack (blog)AI And Machine Learning For Cybersecurity: Friend And Foe?MinuteHack (blog)Moreover, further evidence of the mainstreaming of the technology is that the awards themselves now include a newly-introduced category for Best use of Machine …

Machine Learning: Making the Machines Work For You – The Harbus – Harbus Online


Harbus Online

Machine Learning: Making the Machines Work For You – The Harbus
Harbus Online
Machine learning is already a big part of modern life. Machine learning algorithms work in Google’s search results, Spotify’s music recommendations, and Uber’s ride-sharing matches. The use of the technology will accelerate as companies find new

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Ai and machine learning in 5-10 years

Im first year CS student from EU. So far im fascinated by AI and i know it’s not going anywhere and it’s only gonna get stronger. I’m planning on learning python and getting my feet wet with AI and machine learning this summer. My questions is, how will this field change in 5-10 years, will getting a job be easier or harder?

Will PhD still be a pre-req for high-end stuff? I don’t have problem with work that needs to be put in, but with time to get a PhD (7+ years in my case). With these online resources that are growing by the day i think i can get a solid foundation in this field by the time i finish Uni and would like to work in the field by then. Does this sound possible?

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Artificial Intelligence: Welcome to the Age of Disruptive Surprise – The Cipher Brief

The Cipher BriefArtificial Intelligence: Welcome to the Age of Disruptive SurpriseThe Cipher BriefWith the last few years of progress in artificial intelligence, it is hard to look forward without excitement…and apprehension. If you are paying attentio…

From genomic data to precision medicine via machine learning – OpenGov Asia


OpenGov Asia

From genomic data to precision medicine via machine learning
OpenGov Asia
ITMI’s team of leading scientists, researchers, analysts and collaborators use machine learning algorithms on these terabytes of clinical and genomic information to identify the genetic links to diseases. They make discoveries from the data insights