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"What is Machine Intelligence vs. Machine Learning vs. Deep Learning vs. Artificial Intelligence (AI)?"

"First, the artificial intelligence (AI) algorithms had to train themselves. They used about 78% of the data-some 295,267 records-to search for patterns and build their own internal "guidelines." They then tested themselves on the remaining records. Using record data available in 2005, they predicted which patients would have their first cardiovascular event over the next 10 years, and checked the guesses against the 2015 records. Unlike the ACC/AHA guidelines, the machine-learning methods were allowed to take into account 22 more data points, including ethnicity, arthritis, and kidney disease."

"Human: What do you like to talk about? Machine: Nothing."

a mobile productivity app that analyzes data from a user's mobile calendar and applies artificial intelligence and machine learning to enhance meetings and events throughout the day. Specifically, it's designed to find and neatly organize in context everything the user needs to be fully prepared, including contacts, relevant emails, and related documents

"An absolute beginner's guide to machine learning, deep learning, and AI"