Subscribe to DSC Newsletter
Stephanie Glen
  • Female
  • Jacksonville, FL
  • United States
Share on Facebook
Share

Stephanie Glen's Friends

  • Kartik Patel

Gifts Received

Gift

Stephanie Glen has not received any gifts yet

Give a Gift

 

Stephanie Glen's Page

Latest Activity

Stephanie Glen posted a blog post

Naive Bayes in One Picture

Naive Bayes is a deceptively simple way to find answers to probability questions that involve many inputs. For example, if you're a website owner, you might be interested to know the probability that a visitor will make a purchase. That question has a lot of "what-ifs", including time on page, pages visited, and prior visits. Naive Bayes essentially allows you to take the raw inputs (i.e. historical data), sort the data into more meaningful chunks, and input them into a formula. …See More
3 hours ago
Stephanie Glen's blog post was featured

SVMs in One Picture

SVMs (Support Vector Machines) are a way to classify data by finding the optimal plane or hyperplane that separates the data. In 2D, the separation is a plane; In higher dimensions, it's a hyperplane. For simplicity, the following picture shows how SVM works for a two-dimensional set.Click on picture to zoom in References:…See More
yesterday
Tauheedul Ali liked Stephanie Glen's blog post Hypothesis Tests in One Picture
Sunday
Stephanie Glen's 2 blog posts were featured
Apr 12
Stephanie Glen posted a blog post

Bayes Theorem in One Picture

Bayes’ Theorem is a way to calculate conditional probability. The formula is very simple to calculate, but it can be challenging to fit the right pieces into the puzzle. The first challenge comes from defining your event (A) and test (B); The second challenge is rephrasing your question so that you can work backwards: turning P(A|B) into P(B|A). The following image shows a basic example involving…See More
Apr 12
Lilly Ng liked Stephanie Glen's blog post Determining Sample Size in One Picture
Apr 11
Stephanie Glen and Kartik Patel are now friends
Apr 9
Stephanie Glen replied to Heiko Hahn's discussion Restrictions for split-half testing ?
"More common knowledge than sense, perhaps a bit of both :) Https://www.simplypsychology.org/reliability.html Try that link. They state that SHT is "not appropriate for tests which measure different constructs" and they also mention the…"
Apr 8
Aaron Gabriel commented on Stephanie Glen's blog post 10 Myths About Data Scientists
"Thanks, Vincent. I completely understand where you're coming from and it puts the whole article into context for me. I suppose this ongoing debate about data scientists highlights the need for a membership body similar to the Chartered…"
Apr 8
Aaron Gabriel commented on Stephanie Glen's blog post 10 Myths About Data Scientists
"Thanks, Vincent. I completely understand where you're coming from and it puts the whole article into context for me. I suppose this ongoing debate about data scientists highlights the need for a membership body similar to those in the Chartered…"
Apr 8
Azhar Bashir Khan liked Stephanie Glen's blog post ROC Curve Explained in One Picture
Apr 8
Vincent Granville commented on Stephanie Glen's blog post 10 Myths About Data Scientists
"Aaron, you may know advanced stats and maths, it does not mean that you must use it. Despite my PhD in stats, I haven't used those maths in a long time, except to succeed at a job interview. Especially when you become a senior manager or…"
Apr 7
Aaron Gabriel commented on Stephanie Glen's blog post 10 Myths About Data Scientists
"I strongly disagree with the 'not needing to be great at statistics or mathematics' to be a data scientist and it being alright to only know how to use prepackaged software as a substitute for being proficient in coding. If you take all…"
Apr 6
Aaron Gabriel commented on Stephanie Glen's blog post 10 Myths About Data Scientists
"I strongly disagree with the 'not needing to be great at statistics or mathematics' to be a data scientist and it being alright to only know how to use prepackaged software as a substitute for being proficient in coding. If you take all…"
Apr 6
Stephanie Glen's 2 blog posts were featured
Apr 4
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
Apr 2

Profile Information

Short Bio
Stephanie Glen is Editorial director at DataScienceCentral.com. She 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

Naive Bayes in One Picture

Posted on April 25, 2019 at 10:03am 0 Comments

Naive Bayes is a deceptively simple way to find answers to probability questions that involve many inputs. For example, if you're a website owner, you might be interested to know the probability that a visitor will make a purchase. That question has a lot of "what-ifs", including time on page, pages visited, and prior visits. Naive Bayes essentially allows you to take the raw inputs (i.e. historical data), sort the data into more meaningful chunks, and input them into a formula. …

Continue

Bayes Theorem in One Picture

Posted on April 12, 2019 at 6:30am 0 Comments

Bayes’ Theorem is a way to calculate conditional probability. The formula is very simple to calculate, but it can be challenging to fit the right pieces into the puzzle. The first challenge comes from defining your event (A) and test (B); The second challenge is rephrasing your question so that you can work backwards: turning P(A|B) into P(B|A). The following image shows a…

Continue

A/B testing in One Picture

Posted on April 3, 2019 at 4:30pm 0 Comments

A non-technical look at A/B testing, based on Dan Siroker & Pete Koomen's book, A / B Testing, The Most Powerful Way to Turn Clicks Into Customers. 

Perhaps the two most important points:

  1. Make sure you are testing a clear hypothesis. For example., "Will adding a photo to the landing page…
Continue

Ensemble Methods in One Picture

Posted on March 27, 2019 at 3:30pm 0 Comments

Ensemble methods take several machine learning techniques and combine them into one predictive model. It is a two step process: 

  1. Generate the Base Learners: Choose any combination of base learners, based on accuracy and diversity. Each base learner can produce more than one predictive model, if you change variables such as case weights, guidance parameters, or input space partitions.
  2. Combine Estimates from the Base…
Continue

Comment Wall

You need to be a member of Data Science Central to add comments!

Join Data Science Central

  • No comments yet!
 
 
 

Videos

  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service