9 Ways Smart Machines Are Improving Your Life

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Quietly and steadily algorithms have improved your life. Pedro Domingos, University of Washington, notes, “They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs.”

With rapid advances in machine learning, many of these algorithms are not just dumb programs; they are learning from our digital data trails. “Machine learning is the automation of discovery—the scientific method on steroids—that enables intelligent robots and computers to program themselves,” said Domingos. computer science

We recently notes 8 Ways Machine Learning Will Improve Education. But even closer to home, this post was inspired by a text from my iPhone which had inferred by day and time where I was headed and, after checking the traffic, let me know I’d be home in 5 minutes. Half awesome, half spooky, machine learning, according to Domingos, is the new infrastructure for everything.  computer science  computer science  computer science  computer science

Following are nine ways data science, and specifically machine learning, are making your life better.

1. Machine learning is modeling cancer to find a cure.

Quaid Morris, University of Toronto, told Talking Machines that he’s using machine learning to find a better way to treat cancers. Using Bayesian models and decision trees, Dr. Morris can move from population measures to models of individual cells.  computer science  computer science  computer science  computer science  computer science

With Paul Boutros, Morris launched a global crowdsourced competitionto find new tools for researching cancer.The contestants will analyze vast amounts of DNA sequence data to identify genetically distinct groups of cells within tumours that are often the reason why therapy fails.  computer science  computer science  computer science

team from University of Ioannina, Greece, use machine learning to classify cancer patients into high and low risk groups and to model treatment and outcomes.  computer science  computer science  computer science 

2. Machine + human team selects your wardrobe.

Eric Colson, chief algorithms officer at Stitch Fix told Ben Lorica of the O’Reilly Data Show that they combine human intuition and machine learning to recommend woman’s wardrobe items. These “human-in-the-loop systems” combine empiricism and judgment, “combining art and science.”  computer science  computer science 

3. Graph databases secure networks and detect fraud.

Emil Eifrem, CEO and co-founder of Neo Technology, told O’Reilly’s Ben Lorica about the many interesting tools for storing, managing, visualizing, and analyzing massive graphs. Applications include recommendations, fraud detection and security.  computer science  computer science  computer science  computer science  computer science

Rupesh Kumar, Director of Lepide Software, noted that “Traditional cyber security applications are built on rules, signatures, and fixed algorithms, and can act only based on the “knowledge” that has been fed to them.” But machine learning applications are “learning” algorithms, which check a continually increasing data set.”

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