Reviews
Review: OmniSci GPU database lifts huge data sets
GPU acceleration of database, rendering, and visualization enables interactive exploration of data sets with billions of rows
Das Keyboard 5Q lights up for developers
High-end keyboard is designed to keep developers and IT pros in the loop with key LEDs that double as notifications
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
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
Cloud IDE review: AWS Cloud9 vs. Eclipse Che vs. Eclipse Theia
You don’t have to develop locally to get full IDE support. We compare three great tools that let you edit and debug code from a browser
Review: Azure Machine Learning challenges Amazon SageMaker
Microsoft Azure’s plush, Python-based environment covers the full machine learning and deep learning development cycle
Review: The 6 best JavaScript IDEs
WebStorm, Visual Studio 2017, Visual Studio Code, NetBeans, Komodo, and Eclipse pull out the stops for JavaScript, Node.js, and friends
Review: The 10 best JavaScript editors
Sublime Text, Visual Studio Code, Brackets, and Atom rise to the top, but several others are also worth considering
TigerGraph review: A graph database designed for deep analytics
Highly parallelized and horizontally scalable, TigerGraph shines for use cases that require multi-hop analytic queries
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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