How Artificial Intelligence #AI is Transforming Financial Services
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Farmers look to artificial intelligence as workforce declines
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Artificial intelligence will be worth $1.2 trillion to the enterprise in … – ZDNet
ZDNetArtificial intelligence will be worth $1.2 trillion to the enterprise in …ZDNetThe artificial intelligence (AI) industry will be worth $1.2 trillion in 2018, with customer experience solutions creating the most business value. On Wednesday, Gart…
New Petuum & CMU Paper Identifies Statistical Correlation Among Deep Generative Models
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Top Countries Hiring Most Number Of Artificial Intelligence, Machine Learning Experts – Analytics India Magazine
Analytics India MagazineTop Countries Hiring Most Number Of Artificial Intelligence, Machine Learning ExpertsAnalytics India MagazineDemand for artificial intelligence and machine learning experts is on the rise globally despite a fear that AI will eat…
Q&A: Tavant Technologies’ Atul Varshneya on artificial intelligence and machine learning – HousingWire
HousingWire |
Q&A: Tavant Technologies’ Atul Varshneya on artificial intelligence and machine learning
HousingWire During the Mortgage Bankers Association’s recent Tech Solutions conference, HousingWire sat down with Tavant Technologies’ Atul Varshneya to discuss the disruption that artificial intelligence and machine learning can cause in the lending and mortgage … |
Getting into the AI field, prereq knowledge
Hi all. I’m 23, graduated a year ago with a Finance degree and have a decent job but my strongest passion and interest lies in Artificial Intelligence.
I’ve worked through free python courses and listened to free lectures. The reoccurring issue I have is not having the foundation I need to fully understand computer science and the math behind AI.
I’m looking for direction on where to start. Any suggestions on good sources of knowledge for the little things you need to understand before diving into AI? Particularly Math, computer science and coding.
Thanks!
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Building AI systems that make fair decisions
Harini Suresh, a PhD student at MIT CSAIL, studies how to make machine learning algorithms more understandable and less biased.