Machine Learning in Practice

The author (left) with other young alumni of St. Lawrence University. Photo credit to St. Lawrence University’s Career Center.

Ranking The Most Published Researchers at NeurIPS/NIPS

Machine learning was recently applied to identify trends in smoking habits that could increase intervention and save the lives of smokers…

Michael Kaelin, RTI’s Chief Financial Officer, explained how the organization is beginning to explore machine learning.

Machine learning is moving out of the ivory tower and into the real world.

Machine learning and/or deep learning have been at the peak since 2015, always marked as 2–5 years away from the Plateau of Productivity.

86% of data science decision makers across the Global 2000 believe machine learning impacts their industries today.

There are dozens of new tutorials on both traditional machine learning concepts and cutting-edge techniques.

Expectations that exceed reality, the talent gap, black box answers, and more.

An online course for business leaders implementing ML

621 papers were accepted out of 2,473 submissions for a 25.1% acceptance rate. That's 47% more papers submitted than last year's 1,676.

Is your data accessible, sizable, useable, understandable, and maintainable?

Garbage data that goes into a machine learning model results in garbage predictions out.

Companies rarely examine their data in the way someone doing advanced data science does.

One of the big challenges we see at Infinia ML is how few software developers understand the fundamentals of machine learning. We can…

The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS) is being held this week in Long Beach, CA. NIPS is…

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Our company, Infinia ML, helps Fortune 500 companies leverage machine learning to reduce costs, increase efficiency, and achieve new…

It’s not a question of if but when