Machine Learning
Machine Learning | News, how-tos, features, reviews, and videos
Machine learning algorithms explained
Machine learning uses algorithms to turn a data set into a model. Which algorithm works best depends on the problem
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
TensorFlow unveils MLIR for faster machine learning
Sublanguage project promises faster compilation and easier hardware optimization for high-performance machine learning models
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
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
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
Visual Studio Code’s Python add-on tries out data science
Data exploration and machine learning models are enabled via a Python language extension
Microsoft revamps machine learning tools for Apache Spark
The new open source release integrates Spark with Cognitive Toolkit and other Microsoft machine learning offerings
Microsoft open-sources Infer.Net machine learning
The technology will become part of the ML.Net framework for statistical modeling and online learning
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
The best open source software for machine learning
InfoWorld’s 2018 Best of Open Source Software Award winners in machine learning and deep learning
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
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
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
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
Kubeflow brings Kubernetes to machine learning workloads
Project works with TensorFlow library, eases ML deployments
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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