Artificial Intelligence

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Machine learning algorithms explained

Machine learning uses algorithms to turn a data set into a model. Which algorithm works best depends on the problem

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Review: UiPath aces robotic process automation

UiPath Enterprise RPA Platform is a remarkably complete toolkit for process automation that is also remarkably easy to use

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5 takeaways on scaling machine learning

Twitter and Facebook can teach us a lot about effective artificial intelligence

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AI systems are biased, and cloud availability makes it worse

IT will have to be on the lookout for hidden biases and take action to minimize the harm

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How to model time-series anomaly detection for IoT

Machines fail. By creating a time-series prediction model from historical sensor data, you can know when that failure is coming

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AI cloudops is coming, whether you like it or not

New cloud monitoring and cloud management tools are becoming self-learning, with both pros and cons today

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The best machine learning and deep learning libraries

Why TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models

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To be, and not to be—is that the answer?

If you believe much of the current reporting on quantum computing, it's around the corner. Here's how quantum computing works and how realistic it is that it will be available any time soon

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AI, machine learning, and deep learning: Everything you need to know

All about the business benefits, technology frameworks and models, and application of artificial intelligence for better business outcomes

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5 reasons data science belongs in the cloud

Why laptop-hugging data scientists and server-hugging machine learning practitioners should consider letting go

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How to use deep learning to write Shakespeare

LSTM recurrent neural networks can be trained to generate free text. Let’s see how well AI can imitate the Bard

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IBM preps Watson AI services to run on Kubernetes

IBM Watson services arrive in versions that can run on the public cloud or on privately hosted container infrastructure

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Reinforcement learning comes into AI’s mainstream

Developers now have the tools to get started with this revolutionary technology that is poised to become mainstream

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Review: MXNet deep learning shines with Gluon

With the addition of the high-level Gluon API, Apache MXNet rivals TensorFlow and PyTorch for developing deep learning models

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Explainable AI: Peering inside the deep learning black box

Why we must closely examine how deep neural networks make decisions, and how deep neural networks can help

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How the Turing GPU will revolutionize immersive AI

AI, machine learning, and image manipulation have a lot in common, so it’s no surprise that GPUs can do both, which will bring us amazingly immersive apps

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The future is cloudy, with a chance of success

True cloud computing metaphors: not every cloud is a rain cloud, and too much rain is disastrous for the unprepared

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Bossies 2018: The Best of Open Source Software Awards

InfoWorld recognizes the leading open source projects for software development, cloud computing, big data, and machine learning

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