Analytics
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How to automate machine learning
KNIME’s blueprint for guided automation allows business analysts to train, test, and tune machine learning models via web browser
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How to create color-coded calendars in R
Track your goals with color-coded calendars created with R packages ggplot2 and ggcal
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: Creating color-coded calendars
See how well you’re achieving daily goals with a color-coded calendar made in R
How to manage machine learning models
Monitoring and management not only keep models in tune, but can help streamline the machine learning process
Get started with natural language processing
Software is going beyond storing and retrieving unstructured information by using NLP to improve user experiences, manage complex information, enable chatbot dialogs, and perform text analytics
What a GPU-powered database can do for you
The parallel processing power of the GPU is being brought to analytics by some innovative startups, promising new levels of performance
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
Do more with R: RStudio addins and keyboard shortcuts
Speed up your R programming workflow with RStudio addins and customized keyboard shortcuts
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
SQL tutorial: Learn SQL on MariaDB
Follow this step-by-step guide to install MariaDB, load data, connect to a database, and execute SQL queries including table joins
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
Do more with R: Quick lookup tables using named vectors
Learn how named vectors give R developers an easy to use key-value pairs
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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
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
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
Tutorial: Spark application architecture and clusters
Learn how Spark components work together and how Spark applications run on standalone and YARN clusters
video
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
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7 secrets to predictive analytics success
How to forecast the future with accuracy and confidence.
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