How to do real-time analytics across historical and live data

How to do real-time analytics across historical and live data

5 in-memory computing platform capabilities that support analytical processing of both data lake data and operational streams Today’s analytical requirements ...
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Stop searching for that data scientist unicorn

Stop searching for that data scientist unicorn

Instead, focus on hiring the technical skills needed to build the team, and the soft skills needed to work on ...
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Unsupervised learning explained

Unsupervised learning explained

Unsupervised learning is used mainly to discover patterns and detect outliers in data today, but could lead to general-purpose AI ...
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5 machine learning tools to ease software development

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 Most discussions of developers making ...
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The best machine learning and deep learning libraries

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 If ...
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Julia vs. Python: Which is best for data science

Julia vs. Python: Which is best for data science

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to ...
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