Machine Learning
Machine Learning | News, how-tos, features, reviews, and videos
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
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
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
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
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
5 reasons data science belongs in the cloud
Why laptop-hugging data scientists and server-hugging machine learning practitioners should consider letting go
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
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
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
Review: Azure Machine Learning challenges Amazon SageMaker
Microsoft Azure’s plush, Python-based environment covers the full machine learning and deep learning development cycle
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
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
Guided automation for machine learning
Implementing a web-based blueprint for semi-automated machine learning, using the open source Knime Analytics Platform
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
How to manage machine learning models
Monitoring and management not only keep models in tune, but can help streamline the machine learning process
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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