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Stephanie Glen
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  • Jacksonville, FL
  • United States
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Stephanie Glen posted a blog post

Periodic Function vs Non Periodic, Aperiodic, Quasiperiodic (In one picture)

An understanding of periodic functions is essential for any data scientist,Periodic functions can be represented by Fourier series,Some Non-Periodic functions can also be represented by Fourier series,One picture to explain their similarities and dissimilarities.Periodic functions[noterm], which repeat values at set intervals, are essential math for data science.  For example, they are a must for…See More
Thursday
Stephanie Glen's blog post was featured

Probability Mass Function vs Probability Density Function vs Cumulative Density Function (In One Picture)

This one picture shows how the CDF compares with the PDF and PMF.All can be used to calculate probabilities.Each function has a unique purpose.The Cumulative Density Function (CDF) is the easiest to understand [1].References:[1] Random Variables[2] …See More
Nov 10
Stephanie Glen posted a blog post

Probability Mass Function vs Probability Density Function vs Cumulative Density Function (In One Picture)

This one picture shows how the CDF compares with the PDF and PMF.All can be used to calculate probabilities.Each function has a unique purpose.The Cumulative Density Function (CDF) is the easiest to understand [1].References:[1] Random Variables[2] …See More
Nov 10
EDDISON HAYDEN LEWIS liked Stephanie Glen's blog post Logistic Regression in One Picture
Nov 8
Stephanie Glen's blog post was featured

Conjunction vs Disjunction: Bad Apples and Other Analogies

Conjunctions and disjunctions are useful tools for building algorithms. They enable you to combine propositions. Truth tables are a fast way to find solutions. Analogies can help you to remember the results. Dive into machine learning, and you'll come across algorithms that include…See More
Oct 29
Stephanie Glen posted a blog post

Conjunction vs Disjunction: Bad Apples and Other Analogies

Conjunctions and disjunctions are useful tools for building algorithms. They enable you to combine propositions. Truth tables are a fast way to find solutions. Analogies can help you to remember the results. Dive into machine learning, and you'll come across algorithms that include…See More
Oct 29
Ryan E Mann liked Stephanie Glen's blog post Odds vs Probability vs Chance
Oct 28
Stephanie Glen's blog post was featured

Odds vs Probability vs Chance

Data PointsThere are a number of different terms used for probability in statistics.Each has a distinct (and usually precise) meaning.This article examines some of these terms and shows examples.Using the right terms can make your own data stories more understandable.If you are confused about the difference between…See More
Oct 24
Stephanie Glen posted a blog post

Odds vs Probability vs Chance

Data PointsThere are a number of different terms used for probability in statistics.Each has a distinct (and usually precise) meaning.This article examines some of these terms and shows examples.Using the right terms can make your own data stories more understandable.If you are confused about the difference between…See More
Oct 24
Stephanie Glen's blog post was featured

Types of Variables in Data Science in One Picture

While there are several dozen different types of possible variables, all can be categorized into a few basic areas. This simple graphic shows you how they are related, with a few examples of each type. More info:Types of variables in statistics and…See More
Oct 18
Stephanie Glen posted a blog post

Types of Variables in Data Science in One Picture

While there are several dozen different types of possible variables, all can be categorized into a few basic areas. This simple graphic shows you how they are related, with a few examples of each type. More info:Types of variables in statistics and…See More
Oct 17
Stephanie Glen's blog post was featured

5 Rules of Probability in One Picture (Cat and Dog Edition)

Knowledge of the basic rules of probability is a must-have for any data scientist. But if you're a visual learner like me, learning the algebraic representations of the 5 basic rules of probability (i.e. P(A) + P(B) = 1) is a challenge. I've never been very good at memorizing formulas, but images stick in my head like ear worms.  Whenever I come across a new formula, I try to make it visual with a picture or doodle. The following picture shows some of the images I created to learn the…See More
Oct 11
Alison Bushell liked Stephanie Glen's blog post Correlation Coefficients in One Picture
Oct 7
Alison Bushell liked Stephanie Glen's blog post Correlation Coefficients in Data Science and Machine Learning (in One Picture)
Oct 7
Alison Bushell liked Stephanie Glen's blog post Why You Need to Know Those Probability Distributions
Oct 7
Ribamar Matias liked Stephanie Glen's blog post Why You Need to Know Those Probability Distributions
Oct 2

Profile Information

Company:
Andale Publishing, LLC
Job Title:
CEO
Seniority:
Executive
Job Function:
Other
Industry:
Mathematics Education
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.
Interests:
Contributing

Stephanie Glen's Blog

Periodic Function vs Non Periodic, Aperiodic, Quasiperiodic (In one picture)

Posted on November 19, 2020 at 3:07am 0 Comments

  • An understanding of periodic functions is essential for any data scientist,
  • Periodic functions can be represented by Fourier series,
  • Some Non-Periodic functions can also be represented by Fourier series,
  • One picture to explain their similarities and dissimilarities.

Periodic functions[noterm], which repeat values at set intervals,…

Continue

Probability Mass Function vs Probability Density Function vs Cumulative Density Function (In One Picture)

Posted on November 10, 2020 at 4:54am 0 Comments

  • This one picture shows how the CDF compares with the PDF and PMF.
  • All can be used to calculate probabilities.
  • Each function has a unique purpose.
  • The Cumulative Density Function (CDF) is the easiest to understand [1].

References:…

Continue

Conjunction vs Disjunction: Bad Apples and Other Analogies

Posted on October 29, 2020 at 6:17am 0 Comments

  • Conjunctions and disjunctions are useful tools for building algorithms. 
  • They enable you to combine propositions. 
  • Truth tables are a fast way to find solutions. 
  • Analogies can help you to remember the results. 

Dive into machine learning, and you'll come across…

Continue

Odds vs Probability vs Chance

Posted on October 24, 2020 at 4:30am 0 Comments

Data Points

  • There are a number of different terms used for probability in statistics.
  • Each has a distinct (and usually precise)…
Continue

Comment Wall (1 comment)

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At 3:52am on December 11, 2019, Jason Posavad said…

Your article is so relevant Stephanie, as I am 48 and contemplating an online masters in Data Science.  My answer has been to do as much as I can through MOOCs, self-driven projects, and other less-expensive learning.  If it gets to the point that I have done all of that and proven to myself that I can do Data Science, and that I need a degree to get land a job, I will then do it.   Reality is you do need to be more careful and more risk-averse as you age, as the time to recover from mistakes is just not there anymore.  

 
 
 

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