Analytics

Analytics | News, how-tos, features, reviews, and videos

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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

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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

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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.

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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

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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

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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

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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

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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

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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

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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

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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

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

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

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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

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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

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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

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5 reasons data science belongs in the cloud

Why laptop-hugging data scientists and server-hugging machine learning practitioners should consider letting go

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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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