Pattern recognition and machine learning
Working with pattern recognition and machine learning platforms allows organizations to extract information from big data. This core AI technology can be tricky, but extremely beneficial for enterprises. Read about machine learning best practices and techniques to uncover valuable predictive insights.
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Pattern recognition and machine learning News
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July 02, 2019
02
Jul'19
Open source machine learning accelerates winemaking
Using open source machine learning, Palmaz Vineyards developed a tool to automatically alert winemakers of environmental conditions. Soon, the data flowed like wine.
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May 08, 2019
08
May'19
Google adds Firebase AI tools to make ML mobile dev easier
A new Google Firebase update simplifies machine learning app development. The update is part of a trend of making machine learning more accessible for developers to create and deploy.
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April 29, 2019
29
Apr'19
Future of AI in transportation goes beyond self-driving cars
Transportation and logistics companies are eying an ever expanding role for AI in their products and services, ranging from safer cars to prompter shipments.
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March 27, 2019
27
Mar'19
Azure Anomaly Detector service spots business data deviations
Microsoft's Anomaly Detector service for Azure applies AI to customers' time-series data sets to find deviations or patterns that suggest problems. But humans still have the final say.
Pattern recognition and machine learning Get Started
Bring yourself up to speed with our introductory content
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artificial neural network (ANN)
In information technology (IT), a neural network is a system of hardware and/or software patterned after the operation of neurons in the human brain. Continue Reading
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Machine learning platform architecture demands deep analysis
This handbook offers advice on choosing machine learning platforms and using them to get accurate and meaningful information from analytics applications. Continue Reading
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How pattern matching in machine learning powers AI
Pattern matching may sound like a simple idea, but it's being used to create some highly advanced AI tools, powering everything from image recognition to natural language applications. Continue Reading
Evaluate Pattern recognition and machine learning Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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3 GAN use cases that showcase their positive potential
GANs' ability to create realistic images and deepfakes have caused industry concern. But, if you dig beyond fear, GANs have practical applications that are overwhelmingly good. Continue Reading
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Causal deep learning teaches AI to ask why
Most AI runs on pattern recognition, but as any high school student will tell you, correlation is not causation. Researchers are now looking at ways to help AI fathom this deeper level. Continue Reading
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More to machine learning platforms than meets the AI
To reach full analytics potential, machine learning platforms powered by AI must provide scalability, handle multiple models, integrate with data sources and be cloud-friendly. Continue Reading
Manage Pattern recognition and machine learning
Learn to apply best practices and optimize your operations.
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AI network security tool autonomously does microsegmentation
To ensure network security, a U.S. law firm has turned to automated network microsegmentation vendor Edgewise. The startup uses machine learning to deploy microsegmentation. Continue Reading
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AI in professional services revolutionizes white-collar jobs
Professional services and consulting firms are adopting AI at a rapid rate, even though these types of jobs, which mainly focus on interpersonal interaction, may not seem like strong targets for automation. Continue Reading
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Timeline of AI winters casts a shadow over today's applications
Past generations have had to deal with rounds of inflated expectations and crushing disappointment when it comes to AI. This timeline charts the history of AI's rises and falls. Continue Reading
Problem Solve Pattern recognition and machine learning Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Collaborative robots' safety stalls enterprise implementation
Cobots are promising big gains, especially in enterprises utilizing manual labor. However, due to a number of safety concerns, human workers are still at risk. Continue Reading
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How to solve deep learning challenges through interoperability
The challenges of training and overseeing advanced neural networks is leading to an implementation bottleneck in deep learning technology. Continue Reading
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Hospitals battle duplicate medical records with technology
See how IT executives at two healthcare organizations weed out patient identification errors related to duplicate medical records -- a significant problem, according to research. Continue Reading