Analytics
Analytics | News, how-tos, features, reviews, and videos
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R tip: Quick lookup tables with named vectors
Learn an easy method to use key-value pairs in R
AWS piles on the machine learning services
Hosted TensorFlow, pay-as-you-go inference serving, reinforcement learning, and automatic data labeling come to the Amazon cloud
Deep Dive
Machine learning megaguide: Amazon, Microsoft, Databricks, Google, HPE, IBM
Download InfoWorld's massive roundup of Amazon, Microsoft, Databricks, Google, HPE, and IBM machine learning toolkits
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R tip: Keep your passwords and tokens secure with the keyring package
Saving tokens and passwords in an R environment variable means they’re stored in an unencrypted, clear text file. With the keyring package, your credentials are more secure
Tutorial: Spark application architecture and clusters
Learn how Spark components work together and how Spark applications run on standalone and YARN clusters
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R tip: Keep passwords and tokens secure with the keyring package
Learn how to store credentials in an encrypted, secure keyring within R
Machine learning lessons: 5 companies share their mistakes
Machine learning can also go terribly wrong, making you regret that enthusiastic rush to adopt
Deep Dive
Quick guide: Learn to crunch big data with R
Get started using the open source R programming language to do statistical computing and graphics on large data sets
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7 secrets to predictive analytics success
How to forecast the future with accuracy and confidence.
R tutorial: How to import data into R
In this book excerpt, learn how to import data into R from spreadsheets, HTML tables, and more
Why you should use Gandiva for Apache Arrow
An execution engine for Arrow-based in-memory processing, Gandiva brings dramatic performance improvements to analytical workloads
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
Deep Dive
Build an IoT analytics solution with big data tools
The Internet of things seems futuristic, but real systems are delivering real analytics value today. Here’s some real-world IoT advice from the field
How to add sparklines to R tables
When you want to visualize results in each row—such as when each row of data is a trend over time—you can do that inside a new table column with mini inline graphs called sparklines
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R tip: Sparklines in HTML tables
Learn how to add sparklines to HTML tables in R with the DT and sparkline packages
How to use Knime for data science
Free, open-source Knime allows you to visually assemble data processing “nodes” into machine learning, deep learning, and other analytics workflows
Do more with R: Quick interactive HTML tables
See how to create an interactive table with one line of code (and the DT package). Plus, easy customizations
Deep Dive
Download the Hadoop Deep Dive
Businesses are using Hadoop across low-cost hardware clusters to find meaningful patterns in unstructured data. In this in-depth PDF, InfoWorld explains how Hadoop works and how you can reap its benefits
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R tip: Quick Interactive Tables
See how to create an interactive HTML table with one line of code. Plus, plenty of customizations
Microsoft revamps machine learning tools for Apache Spark
The new open source release integrates Spark with Cognitive Toolkit and other Microsoft machine learning offerings
Explainable AI: Peering inside the deep learning black box
Why we must closely examine how deep neural networks make decisions, and how deep neural networks can help
How TiDB combines OLTP and OLAP in a distributed database
The architecture and use cases of a NewSQL hybrid transactional-analytical, MySQL-compatible, horizontally scalable database
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