Analytics
Analytics | News, how-tos, features, reviews, and videos
Mozilla brings Python data science to the browser
Pyodide project uses Emscripten and WebAssembly to run Python and its data science libraries in any major browser
AnzoGraph: A graph database for deep analytics
AnzoGraph is a fast, horizontally scalable, OLAP graph database that brings a wealth of analytics capabilities to large graphs
video
How to customize ggplot with bbplot
Overwhelmed by all the ways you can customize a ggplot2 data visualization? With add-on packages like the BBC’s bbplot, you can use themes created by design professionals – or tweak them to make them your own.
How to model time-series anomaly detection for IoT
Machines fail. By creating a time-series prediction model from historical sensor data, you can know when that failure is coming
How to use anomaly detection in Azure machine learning
Machine learning is about more than vision and speech, as Azure’s latest machine learning service shows
Review: OmniSci GPU database lifts huge data sets
GPU acceleration of database, rendering, and visualization enables interactive exploration of data sets with billions of rows
Pub/sub messaging: Apache Kafka vs. Apache Pulsar
Apache Kafka set the bar for large-scale distributed messaging, but Apache Pulsar has some neat tricks of its own
![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)
Tidy eval in R: A simple example
Do you want to use ggplot2, dplyr, or other tidyverse functions in your own functions? This easy example shows how
video
How to use tidy eval in R
Do you want to use ggplot2, dplyr, or other tidyverse functions in your own functions? This easy example shows how
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
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
video
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
Sponsored Links