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Stephanie Glen
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  • Jacksonville, FL
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Vincent Granville liked Stephanie Glen's blog post Misleading Graphs: Avoid These Common Mistakes
yesterday
Stephanie Glen's blog post was featured

Misleading Graphs: Avoid These Common Mistakes

Misleading graphs are abound on the internet. Sometimes they are deliberately misleading, other times the people creating the graphs don't fully understand the data they are presenting. "Classic" cases of misleading graphs include leaving out data, not labeling data properly, or skipping numbers on the vertical axis.I came across the following misleading graphic in a…See More
Sunday
Gerardo Trejo liked Stephanie Glen's blog post Statistics Used in Data Science (A Dictionary in One Picture)
Thursday
Stephanie Glen's blog post was featured

Statistics Used in Data Science (A Dictionary in One Picture)

Naming conventions are often quite different in statistics and data science, which causes quite a bit of confusion. Part of the problem with naming conventions is  that "...data science is the child of statistics and computer science” (Blei & Symth, 2017) . In essence, data science then is the child of two parents who speak different languages. In one sense, this makes the job of the data scientist not only to apply the knowledge from both "parents", but to also act as a translator between…See More
May 24
Shubham Srivastava liked Stephanie Glen's blog post Difference Between Classification and Regression in One Picture
May 20
Stephanie Glen's blog post was featured

Difference Between Classification and Regression in One Picture

Regression and classification are both supervised machine learning techniques that use known data to make predictions. Where they differ is in what type of question you want answer, and how your output data is structured.  For example, do you want discrete, categorical answer choices, like yes/no, or a range of possible values from 0 to 100? This one picture shows the basic differences between the two methods.…See More
May 17
Shubham Srivastava liked Stephanie Glen's blog post Inference vs Prediction in One Picture
May 17
Stephanie Glen posted a blog post

Difference Between Classification and Regression in One Picture

Regression and classification are both supervised machine learning techniques that use known data to make predictions. Where they differ is in what type of question you want answer, and how your output data is structured.  For example, do you want discrete, categorical answer choices, like yes/no, or a range of possible values from 0 to 100? This one picture shows the basic differences between the two methods.…See More
May 17
Kashif Hussain commented on Stephanie Glen's blog post Business Analytics vs Data Analytics in One Picture
"Excellent illustrations. Cleared many aspects in my mind."
May 14
LUIS GUILHERME BICCA DA CUNHA commented on Stephanie Glen's blog post Inference vs Prediction in One Picture
"Great!"
May 12
LUIS GUILHERME BICCA DA CUNHA liked Stephanie Glen's blog post Inference vs Prediction in One Picture
May 12
Átila Martins Silva Jr liked Stephanie Glen's blog post Business Intelligence vs Business Analytics
May 12
Átila Martins Silva Jr liked Stephanie Glen's blog post Inference vs Prediction in One Picture
May 12
Stephanie Glen's blog post was featured

Inference vs Prediction in One Picture

Inference and prediction are two often confused terms, perhaps in part because they are not mutually exclusive. Both provide pieces of the "What is data telling me?" puzzle. In fact, many inferential questions are raised as a result of predictions: For example, you might predict how input variables X, Y, and Z affect an output variable B. Then you can infer how important (or not important) the…See More
May 10
Andrew J Kircher liked Stephanie Glen's profile
May 8
Stephanie Glen's blog post was featured

Statistical Uncertainty: Why are Covid-19 Figures so Varied?

If you've been keeping up on the statistics for Covid-19 in the last week (and who hasn't?), you've probably noticed a wide variety of projections for deaths in the United States, ranging from the "best-case" scenario  (327 people) to the "doomsday" figure (2.2 million). Recent statistics published include:327 to 1.6 million (Former Former CDC director Tom Frieden, cited in the…See More
May 5

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

Misleading Graphs: Avoid These Common Mistakes

Posted on May 31, 2020 at 8:19am 0 Comments

Misleading graphs are abound on the internet. Sometimes they are deliberately misleading, other times the people creating the graphs don't fully understand the data they are presenting. "Classic" cases of misleading graphs include leaving out data, not labeling data properly, or skipping numbers on the vertical axis.

I came across the following misleading graphic in a…

Continue

Statistics Used in Data Science (A Dictionary in One Picture)

Posted on May 24, 2020 at 12:08pm 0 Comments

Naming conventions are often quite different in statistics and data science, which causes quite a bit of confusion. Part of the problem with naming conventions is  that "...data science is the child of statistics and computer science” (Blei & Symth, 2017) . In essence, data science then is the child of two parents who speak different languages. In one sense, this makes the job of the data scientist not only to apply the knowledge from both…

Continue

Difference Between Classification and Regression in One Picture

Posted on May 17, 2020 at 5:58am 0 Comments

Regression and classification are both supervised machine learning techniques that use known data to make predictions. Where they differ is in what type of question you want answer, and how your output data is structured.  For example, do you want discrete, categorical answer choices, like yes/no, or a range of possible values from 0 to 100? This one picture shows the basic differences between the two methods.…

Continue

Inference vs Prediction in One Picture

Posted on May 10, 2020 at 6:12am 1 Comment

Inference and prediction are two often confused terms, perhaps in part because they are not mutually exclusive. Both provide pieces of the "What is data telling me?" puzzle. In fact, many inferential questions are raised as a result of predictions: For example, you might predict how input variables X, Y, and Z affect an output variable B. Then you can…

Continue

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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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