Machine Learning

Machine Learning | News, how-tos, features, reviews, and videos

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Artificial intelligence and digital identity

Data is the lifeblood of AI, but how do you collect it?

AI and lots of good data go hand in hand, but it can be a challenge for companies to aggregate it

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Artificial intelligence will close the gap on latency in telecommunications

Artificial intelligence is turning out to be the answer to most of our technological problems

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ML.Net aims to provide machine learning for .Net developers

Microsoft's new machine learning framework promises high-level APIs to make model training and predictions easy, along with strong integration of .Net language features

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Data in, intelligence out: Machine learning pipelines demystified

Data plus algorithms equals machine learning, but how does that all unfold? Let’s lift the lid on the way those pieces fit together, beginning to end

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Julia tutorial: Get started with the Julia language

Want the convenience of a dynamic language and the performance of a compiled statically typed language? Try Julia

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Introducing BigQuery ML for building predictive models with SQL

Google’s beta extension performs linear regression forecasting and binary logistic classification in the BigQuery data warehouse

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Tech Talk: Machine learning and AI deciphered

Breaking through the hype around machine learning and artificial intelligence, our panel of Ken Mingis, Michael Simon and Serdar Yegulalp talk through the definitions and implications of the technology.

Artificial intelligence and digital identity

Powering AI: The explosion of new AI hardware accelerators

Specialized hardware platforms are the future of artificial intelligence, machine learning, and deep learning at every tier and for every task in the cloud-to-edge world in which we will live

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3 big data platforms look beyond Hadoop

Learn how the Cloudera, Hortonworks, and MapR data platforms are evolving to meet the demands for real-time analytics and machine learning

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PyTorch review: A deep learning framework built for speed

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs

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In-memory computing: enabling continuous learning for the digital enterprise

Real-time machine and deep learning use cases are now practical, thanks to in-memory computing platforms with integrated continuous learning capabilities

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3 common machine learning mistakes to avoid

Enterprises keep making these three mistakes, wasting their money, reducing app performance, and getting bad results

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Modern artificial intelligence: algorithms through analytics

The silicon-based algorithms that accelerate the next generation of AI happening now are powerful. But what is the strategy for quality assurance of this technology?

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Reasons to welcome artificial intelligence into your workplace

When placed in the proper context, AI in the workplace isn’t something to fear, but rather something to celebrate and embrace

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What is Julia? A fresh approach to numerical computing

A “no compromises” programming language for data scientists, Julia combines the ease of a dynamic language with the speed of a compiled language

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The hidden transformation underlying AI transformations

There is a rarely discussed but tremendously important dynamic facing every business deploying machine learning: what’s changing below the surface

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5 Python distributions for mastering machine learning

From bare-bones to full-blown, learn which edition of Python is best for your machine learning projects

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Practical AI: or why everything that says it is, isn’t

Complex algorithms do not an intelligent program make, yet, true AI can be a very involved undertaking fraught with high overheads, a substantial investment in IT support, and an ongoing need to monitor and manage the training that an...

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