Predictive Analytics Times
Predictive Analytics Times
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R

Measurement and Validation: An Often Underrated Aspect within the Predictive Analytics Discipline

 In our Big Data world, software applications and programming tools continue to expand the data scientist’s toolkit in facilitating the process of building predictive analytics solutions. Open-source tools have become much more prevalent in the last few years as they enable access to this discipline to a much wider array of people thereby providing...

The Ultimate Guide to Data Science Blogs

 We’ve organized data science blogs across eight different categories: Machine learning, Hadoop, R, Python, business intelligence, data visualization, statistics, and a general data science bucket. Data about their reader count comes from Feedly. This...

The Quest for Unicorns

 Will there be enough data scientists in the future? The question sounds like a subplot for a science fiction film, but it has received much attention over the past few years due to the...

Faster Credit Scoring Dev With Specialized Binning Code – R Package

 Introduction One of the main concerns in a credit scoring project is the extraordinary amount of time required for its development, usually months after the data has been collected. Most of this time is...

In data science, the R language is swallowing Python

 According to a new survey, Python’s data science training wheels increasingly lead to the R language. Use Code PATIMES15 for 15% off a two day pass or combo pass. (Excludes workshops & All Access)...

How R Can Supercharge Data Science

 Use Code PATIMES15 for 15% off a two day pass or combo pass. (Excludes workshops & All Access) One of the most popular tools in data science today is the open-source programming language R....

From Code to Reports with knitr & Markdown

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Trust in Analytics Work: Why it’s Needed and How to Build It

 Much has been written about data-driven decision making. Someone new to analytics in business might reasonably think that the days of gut instinct and experience driving decisions are over, replaced by statistical models, machine...

Visualizations Get Some Snap from R Shiny

 “Numbers have an important story to tell. They rely on you to give them a clear and convincing voice.” –Stephen Few Every data scientist bears the burden of clearly and convincingly communicating results to...

What does Business Intelligence integration with R really mean

  Do the BI vendors’ claims really stack up? “A little prediction goes a long way” wrote Eric Siegel in his popular Predictive Analytics book. True, predictive analytics is now part and parcel of...

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