Tag Archive for Machine Learning

Machine Learning as a Living System

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by Angela Guess Nicole Hemsoth recently wrote for The Platform, “It may seem a bit odd to take machine learning systems guidance from the point of view of a UC Berkeley professor who specializes in gamma ray bursts and black holes, but when it comes to applied scientific algorithms across massive, shifting datasets, Dr. Joshua…

Identifying Bias in Machine Learning Algorithms

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by Angela Guess The University of Utah reports for Scientific Computing, “Software may appear to operate without bias because it strictly uses computer code to reach conclusions. That’s why many companies use algorithms to help weed out job applicants when hiring for a new position. But a team of computer scientists from the University of…

The Algorithm Economy

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by Angela Guess Peter Sondergaard of Gartner recently wrote in Forbes, “Big data is the oil of the 21st century. But for all of its value, data is inherently dumb. It doesn’t actually do anything unless you know how to use it. Oil is useless thick goop until it’s refined into fuel. Big data’s version…

How Does Machine Learning Intersect with Data Security?

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by Angela Guess Sue Marquette Poremba recently wrote for IT Business Edge, “Machine learning is all about algorithms. It’s been used to spot fraud by the financial industry and is supposed to predict behaviors of users. So how does machine learning intersect with IT security? ‘Machine learning is the technology that underpins analytics in security,’…

Machine Teaching: A New Twist on Machine Learning

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by Angela Guess A recent article in Science Codex reports, “Machine learning is a well-established subfield of computer science in which experts develop mathematical tools to help computers learn from data and detect patterns. The machine learner (the computer) is like a student. The goal of machine learning is to develop models that will prove…

How Machine Learning Makes Databases (Truly) Ready for Big Data

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by Thomas Hazel The promise of big data is incredibly enticing and, for most businesses, just as out of reach. The reason is simple: today’s databases are built upon 1970s math that was designed for 20th-century data requirements and hardware capabilities. This math has led to tree-structures and associated algorithms that are incapable of delivering…

Machine Learning Use Case: Repurposing of Cancer Data by DeepPharma

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by Angela Guess Writing for Inside Big Data, Daniel Gutierrez recently commented, “A machine-learning technique that has already given computers the ability to recognize speech and categorize images will now be utilized in the ongoing fight against cancer and other age-related diseases. Insilico Medicine, a bioinformatics company dedicated to drug discovery for cancer and aging,…

Want Better Data Science? Collect More Data

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by Angela Guess Computer World contributor Lukas Biewald recently opined, “If you look at a data science job posting, chances are it will ask for experience with machine-learning techniques, statistical programming languages, nosql databases and maybe some visualization tools. If you look at the curriculum of the new data scientist ‘boot camps,’ the material will…