Machine Learning

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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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FDA to pilot A.I., consider blockchain, to track and trace food

The FDA plans to pilot artificial intelligence and machine learning technology in its legacy food-screening systems – and it's exploring how to build out blockchain internally and industry-wide to increase the scale, efficiency and...


Delta Lake gives Apache Spark data sets new powers

A new open source project from Databricks adds ACID transactions, versioning, and schema enforcement to Spark data sources that don't have them

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TensorFlow unveils MLIR for faster machine learning

Sublanguage project promises faster compilation and easier hardware optimization for high-performance machine learning models

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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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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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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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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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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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Microsoft open-sources Infer.Net machine learning

The technology will become part of the ML.Net framework for statistical modeling and online learning

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PyTorch 1.0 accelerates Python machine learning with native code

The PyTorch 1.0 release candidate introduces Torch Script, a Python subset that can be JIT-compiled into C++ or other high-speed code

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The best open source software for machine learning

InfoWorld’s 2018 Best of Open Source Software Award winners in machine learning and deep learning

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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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Azure’s new machine learning features embrace Python

New tools for Azure ML include integration with Python environments and self-tuning training for machine learning models

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Microsoft’s ML.Net framework adds TensorFlow scoring

This capability enables use of an existing model from Google’s TensorFlow deep learning and machine learning toolkit

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TensorFlow.js puts machine learning in the browser

The WebGL-accelerated library works with the Node.js server-side JavaScript runtime, but isn’t on par with Tensorflow’s Python API

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Kubeflow brings Kubernetes to machine learning workloads

Project works with TensorFlow library, eases ML deployments

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What is CUDA? Parallel programming for GPUs

You can accelerate deep learning and other compute-intensive apps by taking advantage of CUDA and the parallel processing power of GPUs

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