Machine Learning

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

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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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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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PyText builds on PyTorch for language recognition

A Facebook project for natural language processing is now open source, and it promises better ways to mine texts for meaning

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AWS piles on the machine learning services

Hosted TensorFlow, pay-as-you-go inference serving, reinforcement learning, and automatic data labeling come to the Amazon cloud

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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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Machine learning lessons: 5 companies share their mistakes

Machine learning can also go terribly wrong, making you regret that enthusiastic rush to adopt

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Visual Studio Code’s Python add-on tries out data science

Data exploration and machine learning models are enabled via a Python language extension

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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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How to use Knime for data science

Free, open-source Knime allows you to visually assemble data processing “nodes” into machine learning, deep learning, and other analytics workflows

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Microsoft revamps machine learning tools for Apache Spark

The new open source release integrates Spark with Cognitive Toolkit and other Microsoft machine learning offerings

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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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7 cloud services to ease machine learning

Build, train, tune, and deploy machine learning and deep learning models in these end-to-end machine learning clouds

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