Data Science or Machine Learning? Here’s How to Spot the Difference TechopediaData science and ML are different in key ways. In some ways, one can be seen as a subset of the other. Both are important in current IT progress.
How CMOs Are Adapting to the Machine Learning Age AdweekBreakthroughs in artificial intelligence over the past few years have fundamentally altered the ways brand marketers can efficiently reach masses of consumers …
What can machine learning tell us about the solid Earth? Stanford University NewsScientists are training machine learning algorithms to help shed light on earthquake hazards, volcanic eruptions, groundwater flow and longstanding mysteries …
New Study Uses Machine Learning to Predict Sexual Orientation SyncedA new dissertation from University of Pretoria Information Technology master student John Leuner has revisited the thorny question of whether machine learning …
Machine learning for data-driven discovery in solid Earth geoscience Science MagazineSolid Earth geoscience is a field that has very large set of observations, which are ideal for analysis with machine-learning methods. Bergen et al. review …
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.
How APIs and Machine Learning are Evolving ReadWriteAPIs and Machine Learning are intertwined in ways in which we can hardly conceive at present. As we interact with each other we’ll make both better.
AI vs heart disease: How machine learning could help doctors tackle heart problems before they happen ZDNetA system that spun out of Stanford is using AI and machine learning to help doctors visualise patients’ arteries and spare them invasi…
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods Tech XploreA new area in artificial intelligence involves using algorithms to automatically design machine-learning systems known as neural n…
Researchers Built an ‘Online Lie Detector.’ Honestly, That Could Be a Problem WIREDThe internet is full of lies. That maxim has become an operating assumption for any remotely skeptical person interacting anywhere online, from Facebook and ….
