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5 Best Machine Learning Frameworks for Web Development

Apiumhub

Machine learning is a branch of computer science that uses statistical methods to give computers the ability to self-improve without direct human supervision. Machine learning frameworks have changed the way web development companies utilize data. 5 Best Machine Learning Frameworks for Web Development.

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12 most popular AI use cases in the enterprise today

CIO

Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand.

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Lilt raises $55M to bolster its business-focused AI translation platform

TechCrunch

San Francisco, Calfornia-based Lilt was co-founded by Green and John DeNero in 2015. Green is a former Northrop Grumman software engineer who later worked as a research intern on the Google Translate team, developing an AI language system for improving English-to-Arabic translations. .” AI-powered translations. A robust market.

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Inside track: Chris Bedi on his evolving CIO role at ServiceNow

CIO

For Chris Bedi, who joined ServiceNow as CIO in September 2015, a lot: the company recently gave him a new title, chief digital information officer, and rebranded his IT team as “digital technology.” “The We toyed around with the name: digital brain, central nervous system — for the organization,” he says. “We What’s in a name?

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Document Classification With Machine Learning: Computer Vision, OCR, NLP, and Other Techniques

Altexsoft

So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. Namely, we’ll look at how rule-based systems and machine learning models work in this context. An NLP-based system can be implemented for a ticket routing task in this case.

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Evolution of Machine Learning, from Server to the Edge

UruIT

Traditionally, Machine Learning (ML) and Deep Learning (DL) models were implemented within an application in a server-client fashion way. However, in recent years, the concept of moving DL models to the client-side has emerged , which is, in most cases, referred to as the EDGE of the system. TensorFlow.js posenet.load().then(net

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Fraud Prevention – 3 Data Strategies for Financial Services

Cloudera

Synthetic identity fraud – where criminals combine real and fake information to create a new identity – is an example of a fast-growing area of financial crime where disparate, siloed systems make identifying this type of fraud more difficult. 2- Leverage Real-time Data and Machine Learning.