Remove topic r
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5 key areas for tech leaders to watch in 2020

O'Reilly on Data

O’Reilly online learning contains information about the trends, topics, and issues tech leaders need to watch and explore. It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. Up until 2017, the ML+AI topic had been amongst the fastest growing topics on the platform.

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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

That being said, here, we explore 14 of the best data science books in the world today, highlighting the very features, topics, and insights that make each of these institutional data-centric bibles crucial for the success of your career and business. 3) “Advanced R” by Hadley Wickham. click for book source**.

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Unbundling the Graph in GraphRAG

O'Reilly on Data

Smith” and “Bob R. Here are some other recommended resources on this topic: GraphGeeks.org, discord.com/invite/hXyHmvW3Vy ERKG discussion group, linkedin.com/groups/14426852 Hugging Face collection, KG construction papers GraphRAG Discord, discord.com/invite/N9A83zuhZu For example, “Bob E.

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The Top 20 Data Visualization Books That Should Be On Your Bookshelf

datapine

A mere Amazon search of this topic returns over 15k items. 1) “The Visual Display of Quantitative Information” by Edward R. Written by a professor of sociology at Duke University, this book provides researchers and students instructions on using R and ggplot2 in an innovative and coherent manner. Not sure where to start?

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“Do More with R” video tutorials

CIO Business Intelligence

Search for R video tutorials by task, topic, or package. Most videos are shorter than 10 minutes

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Copyright, AI, and Provenance

O'Reilly on Data

Reading about the lawsuits reaching the courts, we sometimes have the feeling that authors believe that their works are somehow hidden inside the model, that George R. What about the authors who teach their readers how to master a complicated technology topic? He’s welcome to try, and he won’t succeed.

Modeling 331
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Academic Research Done on Arc Diagrams

The Data Visualisation Catalogue

Saaty Topic: Mathematics. Arc Diagrams: Visualizing Structure in Strings (2002) By Martin Wattenberg Topic: Data Visualisation. Thread Arcs: an email thread visualization (2003) By Bernard Kerr Topic: Data Visualisation. Smeaton Topic: Data Visualisation. Meyer Topic: Computational Biology [link]. Jones, Alan F.