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

Do more with R: RStudio addins and keyboard shortcuts

Speed up your R programming workflow with RStudio addins and customized keyboard shortcuts

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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

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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

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

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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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

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

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

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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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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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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

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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

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

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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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

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

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

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Microsoft revamps machine learning tools for Apache Spark

The new open source release integrates Spark with Cognitive Toolkit and other Microsoft machine learning offerings

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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

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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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7 cloud services to ease machine learning

Build, train, tune, and deploy machine learning and deep learning models in these end-to-end machine learning clouds

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

Do more with R: drag-and-drop ggplot

A new R package creates a simple graphical user interface for ggplot2—and it generates R code for the visualization you create

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Microsoft smartens up the ML.Net machine learning API

Microsoft’s TensorFlow-compatible machine learning framework debuts a reworked API for more flexible pipelines and improved prediction performance

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