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Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

Reshape data in R with the tidyr package

See how the tidyr R package’s gather and spread functions work. Plus a bonus look at labeling in ggplot2 with the directlabels package

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Real-time data processing with data streaming: new tools for a new era

Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage

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The best open source software for machine learning

InfoWorld’s 2018 Best of Open Source Software Award winners in machine learning and deep learning

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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

bos 2018 data

The best open source software for data storage and analytics

InfoWorld’s 2018 Best of Open Source Software Award winners in databases and data analytics

bos 2018 software dev

The best open source software for software development

InfoWorld’s 2018 Best of Open Source Software Award winners in software development

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How to use Azure ML in Windows 10

With local machine learning support, there’s no need to worry about shipping data to cloud services, especially where bandwidth or data protection can be an issue

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How to solve AI’s reproducibility crisis

Society will never fully trust artificial intelligence’s actions unless they can be shown to produce reasonably repeatable results in line with what their developers claim

data lake

What is a data lake? Flexible big data management explained

A data lake can be a much more flexible repository than a data warehouse. Or it can be a trash dump that grows and grows

Sailboat on the open sea at sunset.

Review: Keras sails through deep learning

Keras sequential models make deep neural network modeling about as simple as it can be

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LinkedIn open-sources a tool to run TensorFlow on Hadoop

The Tony project uses Hadoop's native scheduler to run TensorFlow jobs, making fault tolerance and GPU usage easier

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How artificial intelligence is reshaping the insurance industry

Artificial intelligence is changing the world of insurance, improving underwriting and accessibility while making it more affordable for consumers. In the future, it may be able to make insurance obsolete

True Technologist video series [teaser]

Interview: Matei Zaharia on Spark and machine learning

Zaharia expounds on the reasons Spark has become the big data framework of choice and why he thinks his company’s melding of Spark and machine learning delivers unique value

teamwork - collaboration

Why data science teams should operate like startups

Successful startups can teach data science teams a lesson or two.

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How the CDO reached the C-suite and where it goes from here

The importance of data today is turning its stewards into leaders

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How enterprise knowledge graphs can proactively reduce risk

Incorporating knowledge graphs with artificial intelligence offer newfound ability to seek out data security threats instead of simply reacting once noncompliance or data losses occurs

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Replication isn’t data protection. Here’s why

Despite replication increasing in usage over traditional backup workflows, it’s not enough to protect your data alone

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When data becomes a service

The need for data to fuel effective artificial intelligence solutions and how to collect it via model-as-a service and insights-as-a service

FinTech data

Worlds collide in information management

The convergence of several interrelated functions of information management are fueling a push toward unified information governance

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Fixing data quality first? You’re doing it wrong

In today’s hyper-competitive business environment, the companies that get data to their teams faster and solve specific problems will outperform those who are preoccupied with data perfection

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