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Capri Granville
  • Female
  • Issaquah, WA
  • United States
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Capri Granville's Discussions

AI: Miniaturization of Robots

Started this discussion. Last reply by Michael Rawson May 18. 2 Replies

Maybe this seems like science fiction, but I was wondering if some companies are developing robots that are so small, that they are about the size of a virus. You could imagine a swarm of robotic…Continue

Is it better to overpredict, or underpredict?

Started this discussion. Last reply by Ethan Scott Mar 14. 5 Replies

Weather predictions are notoriously difficult for the Seattle area. I have seen many instances in which snow was predicted (say 1 to 3 inches) while the actual amount was much smaller. I assume that…Continue

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Latest Activity

Capri Granville's 2 blog posts were featured
10 hours ago
Capri Granville posted a blog post

Free Book: Process Improvement Using Data

This book, initially written for chemical engineers, is actually very interesting for data scientists and machine learning engineers alike. For more free books, visit this page.Content1. Visualizing Process Data1.1. Data…See More
yesterday
aman Ullah left a comment for Capri Granville
"Question: A researcher is interested in actual data to research in patterns and build a model for prediction. My question is that if a researcher is interested in actual data why we transform data?"
yesterday
Amit Dubey liked Capri Granville's blog post Free Book: Introduction to Statistics
Friday
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Thursday
Derek Christensen liked Capri Granville's blog post Free Book: Introduction to Statistics
Thursday
Capri Granville posted a blog post

Free Book: Introduction to Statistics

Online Statistics Education: A Multimedia Course of Study.  Project Leader: David M. Lane, Rice University.Content:IntroductionGraphing DistributionsSummarizing DistributionsDescribing Bivariate DataProbabilityResearch DesignNormal DistributionsAdvanced GraphsSampling DistributionsEstimationLogic of Hypothesis TestingTesting MeansPowerRegressionANOVATransformationsChi SquareDistribution Free TestsEffect SizeCase StudiesCalculatorsGlossary…See More
Wednesday
MayilD liked Capri Granville's blog post Traditional Programming versus Machine Learning, in One Picture
Sep 12
Thomas Collonville commented on Capri Granville's blog post Traditional Programming versus Machine Learning, in One Picture
"As meta programming "
Sep 12
Ionut Motoc liked Capri Granville's blog post The Typical Data Scientist Profile, in a few Pictures
Jul 17
Prasanth liked Capri Granville's blog post Free Guide: Interpretable Machine Learning
Jun 24

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Capri Granville's Blog

Free Book: Process Improvement Using Data

Posted on September 22, 2018 at 9:30am 0 Comments

This book, initially written for chemical engineers, is actually very interesting for data scientists and machine learning engineers alike. For more free books, visit this page.…

Continue

Free Book: Introduction to Statistics

Posted on September 19, 2018 at 1:30pm 0 Comments

Online Statistics Education: A Multimedia Course of Study.  Project Leader: David M. Lane, Rice University.

Content:

  • Introduction
  • Graphing Distributions
  • Summarizing Distributions
  • Describing Bivariate Data
  • Probability
  • Research Design
  • Normal Distributions
  • Advanced Graphs
  • Sampling…
Continue

Machine Learning Process Summarized in Two Pictures

Posted on May 20, 2018 at 1:00pm 0 Comments

These pictures were posted on Quora by Oleg Sergeykin, former Structural Analysis Engineer at Boeing. His philosophy is that Data science is actually an iterative processes. It is never possible to complete a DS project in a single pass. A data scientist constantly tries new ideas and changes steps of his pipeline.…

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15 Data Science and Machine Learning Courses from Top Schools

Posted on May 20, 2018 at 1:00pm 1 Comment

Many are free. They are available online. They are offered by Princeton, Georgia Tech, Harvard, Columbia, Stanford, and Penn State. 

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At 7:07am on September 22, 2018, aman Ullah said…

Question: A researcher is interested in actual data to research in patterns and build a model for prediction. My question is that if a researcher is interested in actual data why we transform data?

 
 
 

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