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Stephanie Glen
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  • Jacksonville, FL
  • United States
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Stephanie Glen's blog post was featured

Math You Don't Need to Know for Machine Learning

Grab a copy of The Elements of Statistical Learning ("the machine learning bible") and you might be a little overwhelmed by the mathematics. For example, this equation (p.34), for a cubic smoothing spline, might send shivers down your spine if math isn't your forte:In order to…See More
Monday
Stephanie Glen commented on Stephanie Glen's blog post On Being a Female Data Scientist
"Thanks, John. I corrected that typo, adding an "s".  "
Feb 17
JON QUIGLEY liked Stephanie Glen's blog post On Being a Female Data Scientist
Feb 11
Jacob Gower liked Stephanie Glen's blog post On Being a Female Data Scientist
Feb 11
Mulualem Mheretu liked Stephanie Glen's blog post Alternatives to Logistic Regression
Feb 8
John Fowler commented on Stephanie Glen's blog post On Being a Female Data Scientist
"I love your story, and I whole-heartedly encourage women to pursue careers in technical and scientific fields!  Unfortunately, the main reason I'm commenting is due to a typo.  Don't worry, I only comment about typos when…"
Feb 8
Boris Shmagin liked Stephanie Glen's blog post Alternatives to Logistic Regression
Feb 8
Stephanie Glen's blog post was featured

On Being a Female Data Scientist

How Did I Get Here?I'm a female mathematician, statistician, and data scientist. How did I get to be all of those things? I wish I could say "I did well in school" or "I always loved computers." But the reality is, in middle/high school, I was bored stiff. I excelled in art, skipping classes, and bombing exams. At 16, I dropped out of school to begin an illustrious career in office cleaning. The odds were stacked against me entering the computing industry for many reasons. The biggest obstacle…See More
Feb 8
elena liked Stephanie Glen's blog post Alternatives to Logistic Regression
Feb 8
Steve Corbett liked Stephanie Glen's blog post Alternatives to Logistic Regression
Feb 8
Stephanie Glen's blog post was featured

Alternatives to Logistic Regression

Logistic regression (LR) models estimate the probability of a binary response, based on one or more predictor variables. Unlike linear regression models, the dependent variables are categorical. LR has become very popular, perhaps because of the wide availability of the procedure in software. Although LR is a good choice for many situations, it doesn't work well for all situations. For example:In propensity score analysis where there are many covariates, LR performs poorly.For classifications,…See More
Feb 3
Stephanie Glen updated their profile
Jan 31

Profile Information

Short Bio
Stephanie Glen is a mathematician and statistician. After working for several years teaching mathematics and statistics at the university level, she created and developed the website StatisticsHowTo.com.
Field of Expertise
Other
Professional Status
Executive
Years of Experience:
14
Your Company:
Andale Publishing, LLC
Industry:
Mathematics Education
Your Job Title:
CEO
Interests:
Contributing

Stephanie Glen's Blog

Math You Don't Need to Know for Machine Learning

Posted on February 17, 2019 at 7:34am 0 Comments

Grab a copy of The Elements of Statistical Learning ("the machine learning bible") and you might be a little overwhelmed by the mathematics. For example, this equation (p.34), for a cubic smoothing spline, might send shivers down your spine if math isn't your forte:…

Continue

On Being a Female Data Scientist

Posted on February 8, 2019 at 8:30am 2 Comments

How Did I Get Here?

I'm a female mathematician, statistician, and data scientist. How did I get to be all of those things? I wish I could say "I did well in school" or "I always loved computers." But the reality is, in middle/high school, I was bored stiff. I excelled in art, skipping classes, and bombing exams. At 16, I dropped out of school to begin an illustrious career in office cleaning. 

The odds were stacked against me entering the computing industry for many…

Continue

Alternatives to Logistic Regression

Posted on February 2, 2019 at 6:55am 0 Comments

Logistic regression (LR) models estimate the probability of a binary response, based on one or more predictor variables. Unlike linear regression models, the dependent variables are categorical. LR has become very popular, perhaps because of the wide availability of the procedure in software. Although LR is a good choice for many situations, it doesn't work well for all situations. For example:

  • In propensity score analysis where there are many…
Continue

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