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Capri Granville
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  • Issaquah, WA
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Capri Granville's Discussions

Questions about A/B and Multivariate Testing

Started this discussion. Last reply by Sandy Ayer Jun 15. 1 Reply

I want to test the optimum price for some items sold online. One way to do it is to set two different prices and do some A/B testing to see which price generates the most revenue, or comparing…Continue

Who is using regression models with interactions?

Started this discussion. Last reply by Andrew Reid Mar 15. 2 Replies

I believe biostatisticians use it, especially with small data sets, in the context of clinical trials, especially when using dummy variables (e.g. 0/1 for gender.) I am wondering how decision trees…Continue

AI: Miniaturization of Robots

Started this discussion. Last reply by Michael Rawson May 18, 2018. 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 Frank Raulf Jun 4. 6 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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"...the pdf version is 698 pages.  Still a great thing, just not 2900 pages.  Thanks!"
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Capri Granville's Blog

Free 2,900-page Manual about Pandas

Posted on November 3, 2019 at 10:00am 1 Comment

Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

Hexagonal binning with Hexbin: extract from the Visualization chapter

This reference is available…

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Best 2019 Paper Awards in Computer Vision

Posted on November 3, 2019 at 10:00am 0 Comments

The IEEE International Conference on Computer Vision received 4,303 papers and accepted 1,075 for the 2019 summit. Bellow is the best paper award.

Source: see paper listed below…

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Math of Deep Learning: Free Chapter from 832-page eBook

Posted on November 3, 2019 at 10:00am 0 Comments

The title of the eBook is Dive in Deep Learning. Below I list the content of chapter 16, dealing with the math of deep learning. But the whole book (entirely free) is worth reading. This is an interactive deep learning book with code, math, and discussions. It is based on the NumPy interface.

Authors

  • Aston Zhang, Amazon Senior Scientist, UIUC Ph.D.
  • Zack C. Lipton, Amazon Scientist, CMU Assistant Professor, UCSD Ph.D.
  • Mu Li,…
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Jupyter Notebooks: Fundamentals of Machine Learning and Deep Learning

Posted on October 27, 2019 at 6:30am 0 Comments

Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2. 

Source: from the Support Vector Machines chapter,…

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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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