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Capri Granville
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  • Issaquah, WA
  • United States
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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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Latest Activity

Macgilchrist liked Capri Granville's blog post 3 Types of Regression in One Picture
Thursday
Lee Schlesinger liked Capri Granville's blog post What are the Typical Data Scientist Profiles on LinkedIn? Survey Results
Thursday
Capri Granville's blog post was featured

What are the Typical Data Scientist Profiles on LinkedIn? Survey Results

The charts below represents the main findings of some recent analysis of 1,000 data scientist LinkedIn profiles, using a web scraper. It was limited to Singapore, and for people having "data scientist" on their profile. Of course, many have a different job title especially in fields such as Fintech (quant engineer) or Healthcare (biostatistician) but the findings are interesting nevertherless and seem to apply to other locales as well.The first chart features the educational background of these…See More
Thursday
Derek Christensen liked Capri Granville's blog post Free Book: Foundations of Data Science (from Microsoft Research Lab)
Sep 9
Jesus Miguel Lopez Mesia commented on Capri Granville's blog post Three Books About the Mathematics of Data
"Great post!"
Sep 6
Jesus Miguel Lopez Mesia liked Capri Granville's blog post Three Books About the Mathematics of Data
Sep 6
Capri Granville posted blog posts
Sep 5
Capri Granville's 2 blog posts were featured
Sep 5
D Sinha liked Capri Granville's blog post New Data Science Cheat Sheet, by Maverick Lin
Sep 4
Sergio Dum replied to Capri Granville's discussion Is it better to overpredict, or underpredict?
"As for me - better to overpredict because you have more chances to deal with something that was known for you. The same thing can happen to risk-games!"
Sep 3
Sergio Dum replied to Capri Granville's discussion Is it better to overpredict, or underpredict?
"As for me - better to overpredict because you have more chances to deal with something that was known for you. The same thing can happen to risk-games!"
Sep 3
Júlio CN Souza liked Capri Granville's blog post Free Book: Foundations of Data Science (from Microsoft Research Lab)
Aug 30
Omer Sayli liked Capri Granville's blog post Probability Cheat Sheet - Harvard University
Aug 30
EDDISON HAYDEN LEWIS liked Capri Granville's blog post Google Machine Learning Glossary
Aug 16
Amilcar Blake liked Capri Granville's blog post New Data Science Cheat Sheet, by Maverick Lin
Jul 21
Capri Granville posted a blog post

Google Machine Learning Glossary

This glossary defines general machine learning terms as well as terms specific to TensorFlow. Below is a small selection of the most popular entries. You can access this glossary here. For other related glossaries, follow this link.A/B testingactivation functionagglomerative…See More
Jul 12

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Capri Granville's Blog

What are the Typical Data Scientist Profiles on LinkedIn? Survey Results

Posted on September 12, 2019 at 10:00am 0 Comments

The charts below represents the main findings of some recent analysis of 1,000 data scientist LinkedIn profiles, using a web scraper. It was limited to Singapore, and for people having "data scientist" on their profile. Of course, many have a different job title especially in fields such as Fintech (quant engineer) or Healthcare (biostatistician) but the findings are interesting nevertherless and seem to apply to other locales as well.

The first chart features the educational…

Continue

R Users’ Salaries from the 2019 Stackoverflow Survey

Posted on September 5, 2019 at 7:00am 0 Comments

Interesting analysis done in R, about salaries of R developers broken down by country, featuring salary range and median salary. 

The dataset consists of survey answers from nearly 90,000 respondents. About 5,000 of them reported using R for “extensive development work over the past year”. The first filter used reduces the dataset from 88,883 respondents to 5,048. The second filter…

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Interesting Charts and Maps Obtained Using Census Data

Posted on June 10, 2019 at 5:00pm 0 Comments

I found an interesting websites featuring hundreds of charts derived from US census data. It shows contrasts between states, cities, regarding education, jobs, languages spoken, salaries, even discrepencies between men and women or Asians and Caucasians, regarding various metrics broken down by location, education, or other criteria. I selected four of these charts.…

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Interesting Type of Chart: Hexagonal Binning

Posted on June 9, 2019 at 8:00am 1 Comment

This chart communicates the same insights as a contour plot. What is interesting is the choice of hexagonal buckets (rather than squares) to aggregate data. In fact, any tessellation would work, in particular Voronoi tessellations.…

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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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