In the course of this three-part series on the challenges and opportunities for enterprise machine learning, we have worked to define the landscape and ecosystem for these workloads in large-scale ...
Companies of all kinds use machine learning to analyze people’s desires, dislikes, or faces. Some researchers are now asking a different question: How can we make machines forget? A nascent area of ...
The DeepCoder experimental machine learning project from Microsoft and the University of Cambridge can learn how to write simple software from provided example code At the very least, they might well ...
With machine learning (ML) at the heart of much of modern computing, the interesting question is: How do machines learn? There’s a lot of deep computer science in machine learning, producing models ...
Prior deep learning experience (e.g. ELEC_ENG/COMP_ENG 395/495 Deep Learning Foundations from Scratch ) and strong familiarity with the Python programming language. Python will be used for all coding ...
Many federal agencies are now on the path to understanding how machine learning can apply to their specific needs in predictive analysis for cyber threat detection, automating data breach detection ...
Machine learning (aka A.I.) seems bizarre and complicated. It’s the tech behind image and speech recognition, recommendation systems, and all kinds of tasks that computers used to be really bad at but ...
The hype about machine learning (ML) is warranted. Machine learning is not just making things easier for the companies that are taking advantage of it. It’s also changing the way they do business. For ...
One of the downsides to the recent revival and popularity of Artificial Intelligence (AI) is that we see a lot of vendors, professional services firms, and end users jumping on the AI bandwagon ...
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