Machine Learning

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

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Artificial intelligence and digital identity

JetBrains taps machine learning for full-line code completion

IntelliJ IDE's 2020 roadmap also features collaborative editing and lightweight text editing

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Launchable applies machine learning to software testing

Founded by Jenkins creator Kohsuke Kawaguchi, startup promises to make software testing smarter and faster

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Deep learning vs. machine learning: Understand the differences

Both machine learning and deep learning discover patterns in data, but involve dramatically different techniques

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Artificial intelligence predictions for 2020

Machine learning applications, tools, techniques, platforms, and standards will see big changes in the next year

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AWS beefs up SageMaker machine learning

Amazon SageMaker adds a data science studio, experiment tracking, production monitoring, and automated machine learning capabilities

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Machine learning for Java developers, Part 2: Deploy your model

Learn how to build and deploy your machine learning data model in a Java-based production environment

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Machine learning for Java developers, Part 1: Algorithms for machine learning

Set up a machine learning algorithm and develop your first prediction function in Java, then get started with Weka.

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Google Dex language simplifies array math for machine learning

LLVM-powered experimental language for array processing aims for an important corner of the math library space

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Dart language taps machine learning for code completion

Google’s Dart 2.5 SDK features previews of machine learning powered code completion and a foreign function interface for C interoperability

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Deep learning frameworks: PyTorch vs. TensorFlow

If you actually need a deep learning model, PyTorch and TensorFlow are both good choices

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5 machine learning tools to ease software development

AI-driven development tools that provide code auto-completion, code vulnerability detection, and even cutting-edge code generation

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The best machine learning and deep learning libraries

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

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For open source vs. proprietary, AWS might have it both ways

Google profits from projects like TensorFlow and Kubernetes, but AWS profits more

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Machine learning algorithms explained

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

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Review: Kinetica analyzes billions of rows in real time

GPU database is not only hugely scalable, but integrates graph analysis, location intelligence, and machine learning with standard SQL

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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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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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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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