Analytics

Analytics news, information, and how-to advice

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Review: Neo4j supercharges graph analytics

When it comes to tracking relationships, Neo4j is faster, more flexible, and more scalable than relational databases

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A quick-and-dirty way to predict human behavior

The Alternating Least Squares (ALS) technique is fundamental to many machine learning applications. Here’s how it works

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Cython tutorial: How to speed up Python

How to use Cython and its Python-to-C compiler to give your Python applications a rocket boost

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Get started with TensorFlow

Begin harnessing the power of Google’s open source machine learning library with InfoWorld's hands-on tutorial

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Artificial intelligence isn’t taking your job

With data, artificial intelligence, machine learning, and automation may improve your job

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What if the LOB had digital democratization

4 recommendations to set your IoT analytics strategy on the best course

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Data preparation is the key to big data success

Common barriers to big data adoption, and how to adapt and overcome those challenges

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Shopping for data: what’s fit for your purpose?

The data catalog (or data marketplace) makes finding and accessing data easier, another step toward data democratization

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Data governance: the key to building consistent, outstanding digital experiences

The investment required for data governance is the price organizations must pay for their teams to have access to the right data at the right time

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How classification and clustering work: the easy way

People are often confused about what these are and what the difference is. So here is an explanation using the old-fashioned way: in an Excel spreadsheet

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Technology of the Year 2018: The best hardware, software, and cloud services

InfoWorld’s 2018 Technology of the Year Award winners recognize the best tools and technologies for software development, cloud computing, data analytics, and machine learning

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InfoWorld’s 2018 Technology of the Year Award winners

InfoWorld editors and reviewers pick the year’s best software development, cloud computing, data analytics, and machine learning tools

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What is big data? Everything you need to know

Analyzing lots of data is only part of what makes big data analytics different from previous data analytics. Learn what the other aspects are

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Harmonizing big data with an enterprise knowledge graph

In addition to streamlining how users retrieve diverse data via automation capabilities, a knowledge graph standardizes those data according to relevant business terms and models

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AI disruptions and the power of intelligent data

The combination of artificial intelligence and inductive machine learning using training data sets can bring significant impact on enterprise productivity and enhancements

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Handing off models from data science to IT

The relationship between your data science and IT teams can complicate the deployment of analytic models

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What you need to know about Azure Notebooks

Microsoft has built an analytic playground with open-source Jupyter Notebooks in its cloud

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TensorFlow review: The best deep learning library gets better

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use

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