Analytics
Analytics | News, how-tos, features, reviews, and videos
![Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks](https://images.idgesg.net/images/article/2018/05/do_more_with_r_teaser-100758232-medium.3x2.jpg)
The best machine learning and deep learning libraries
Why TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models
How to use Tableau to analyze agile, devops, and website metrics
Developers often need their own reporting capabilities to better analyze, predict, and manage aspects of their work; tools like Tableau can help
What is Jupyter Notebook? Data analysis made easier
Jupyter Notebook combines live code, graphics, visualizations, and text in shareable notebooks that run in a web browser
![Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks](https://images.idgesg.net/images/article/2018/05/do_more_with_r_teaser-100758232-small.3x2.jpg)
How to write an R package
R packages are great for organizing your own work, not only sharing with others. See how to create an R package in a few simple steps, thanks to packages like devtools, usethis, and roxygen2
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How to write your own R package
When you hear “R package,” you may think something to share with other people. But an R package can also be a good way to organize your own work
Review: Google Cloud AutoML is truly automated machine learning
Google’s AutoML lets you create customized deep learning models without any knowledge of data science or programming
How to validate data, analytics, and data visualizations
Application testing often ignores one crucial set of tests that is critical for any application processing or presenting data, analytics, or data visualizations
AI, machine learning, and deep learning: Everything you need to know
All about the business benefits, technology frameworks and models, and application of artificial intelligence for better business outcomes
5 reasons data science belongs in the cloud
Why laptop-hugging data scientists and server-hugging machine learning practitioners should consider letting go
How to run Python in R
Learn how to run Python code inside an R script using the reticulate R package
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Run Python in R code
While R is a useful language, Python is also great for data science and general-purpose computing. See how to run Python code within an R script and pass data between Python and R
How to choose the right data visualization tools for your apps
Visualization frameworks have their place, but dedicated visualization tools are often a better way to create interactive, visual experiences in your applications
How to use deep learning to write Shakespeare
LSTM recurrent neural networks can be trained to generate free text. Let’s see how well AI can imitate the Bard
IBM preps Watson AI services to run on Kubernetes
IBM Watson services arrive in versions that can run on the public cloud or on privately hosted container infrastructure
IBM Cloud Q&A: Kubernetes takes center stage
As IBM’s Think conference commences, general manager Jim Comfort explains how Kubernetes and container portability are central to IBM’s cloud strategy and Red Hat acquisition
How to use Azure Data Explorer for large-scale data analysis
Microsoft’s tool for querying terabytes of data finally arrives for everyone to use
![Jupiter's Great Red Spot and its surroundings was obtained by Voyager 1 on Feb. 25, 1979 [NASA/JPL]](https://images.idgesg.net/images/article/2019/02/nasa_pia00014_jupiter_great_red_spot_obtained_by_voyager_1_1979_02_25_3x2-100787333-small.3x2.jpg)
Python tutorial: Get started with Jupyter Notebook
Learn how to combine Python code, freeform text, mathematical formulas, and graphics in an interactive, shareable notebook
Enterprise architecture: A key driver of digital and analytic transformation
A conversation with Claus Torp Jensen, chief technology officer at CVS Health, on how to build an effective architectural function in the enterprise
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