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Reinforcement learning explained

Reinforcement learning uses rewards and penalties to teach computers how to play games and robots how to perform tasks independently

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks
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How to send email from R and Gmail

See how to automate sending email with the R language, a Gmail account, and the gmailr R package

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How to send email with R and Gmail

See how to automate sending email with the R programming language and Gmail.

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Natural language processing explained

Deep learning has improved machine translation and other NLP tasks by leaps and bounds

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Deep learning explained

Deep neural networks can solve the most challenging problems, but require abundant computing power and massive amounts of data

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks
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How to use RStudio code snippets

Save time by storing your best and most-used code in RStudio snippets

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4 reasons big data projects fail—and 4 ways to succeed

Nearly all big data projects end up in failure, despite all the mature technology available. Here's how to make big data efforts actually succeed

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Machine learning explained

Able to learn from data, machine learning algorithms can solve problems that are too complex to solve with conventional programming

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The biggest news out of Google I/O | TECH(feed)

At last week’s Google I/O conference, Google announced a slew of upgrades to its existing products. On today’s episode of TECH(feed), Juliet runs through some highlights of Google I/O announcements, including updates to Android OS and...

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks
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Turn an R Markdown document into an interactive experience

Supercharge your R code's interactivity with R Markdown and runtime Shiny

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Machine learning algorithms explained

Machine learning uses algorithms to turn a data set into a model. Which algorithm works best depends on the problem

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5 takeaways on scaling machine learning

Twitter and Facebook can teach us a lot about effective artificial intelligence

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Review: Kinetica analyzes billions of rows in real time

GPU database is not only hugely scalable, but integrates graph analysis, location intelligence, and machine learning with standard SQL

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Delta Lake gives Apache Spark data sets new powers

A new open source project from Databricks adds ACID transactions, versioning, and schema enforcement to Spark data sources that don't have them

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Machine learning and data visualization for clickstream analysis

How to use the KNIME Analytics Platform to understand the behavior of website visitors

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TensorFlow unveils MLIR for faster machine learning

Sublanguage project promises faster compilation and easier hardware optimization for high-performance machine learning models

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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

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5 steps to smarter data visualization

Data visualizations are key to understanding your data, so help them look their best

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