Machine Learning

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

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How to use anomaly detection in Azure machine learning

Machine learning is about more than vision and speech, as Azure’s latest machine learning service shows

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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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Review: Google Cloud AutoML is truly automated machine learning

Google’s AutoML lets you create customized deep learning models without any knowledge of data science or programming

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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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IBM Cloud Q&A: Kubernetes takes center stage

As IBM’s Think conference commences, general manager Jim Comfort explains how Kubernetes and container portability are central to IBM’s cloud strategy and Red Hat acquisition

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Review: Azure Machine Learning challenges Amazon SageMaker

Microsoft Azure’s plush, Python-based environment covers the full machine learning and deep learning development cycle

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InfoWorld’s 2019 Technology of the Year Award winners

InfoWorld editors and reviewers recognize the year’s best software development, cloud computing, big data analytics, and machine learning tools

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Python code completion gets an assist from machine learning

Kite programming assistant makes auto-suggestions based on data collected from Python code around the web

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What is Keras? The deep neural network API explained

Easy to use and widely supported, Keras makes deep learning about as simple as deep learning can be

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Guided automation for machine learning

Implementing a web-based blueprint for semi-automated machine learning, using the open source Knime Analytics Platform

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How to automate machine learning

KNIME’s blueprint for guided automation allows business analysts to train, test, and tune machine learning models via web browser

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How to manage machine learning models

Monitoring and management not only keep models in tune, but can help streamline the machine learning process

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Get started with natural language processing

Software is going beyond storing and retrieving unstructured information by using NLP to improve user experiences, manage complex information, enable chatbot dialogs, and perform text analytics

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