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Bayes' Theorem 1.0

1.9 MB / 5+ Downloads / Rating 5.0 - 2 reviews


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Bayes' Theorem, developed and published by Argus Wire, has released its latest version, 1.0, on 2017-03-13. This app falls under the Education category on the Google Play Store and has achieved over 500 installs. It currently holds an overall rating of 5.0, based on 2 reviews.

Bayes' Theorem APK available on this page is compatible with all Android devices that meet the required specifications (Android 4.1+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Screenshot

App Details

Package name: arguswire.gmail.com.email.bayestheorem

Updated: 8 years ago

Developer Name: Argus Wire

Category: Education

New features: Show more

Installation Instructions

This article outlines two straightforward methods for installing Bayes' Theorem on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

App Rating

5.0
Total 2 reviews

Reviews

5 ★, on 2017-04-10
Legit. Two equations. I never knew.

Previous Versions

Bayes' Theorem 1.0
2017-03-13 / 1.9 MB / Android 4.1+

About this app

In 18th century British clergyman Thomas Bayes invented what would later be known as Bayes' Theorem and considered by some to be "Pythagorean theorem of probability".

Today used in fields as diverse as Artificial Intelligence and Statistics the simple formula gained notoriety for seemingly strange and surprising answers, even to seemingly simple problems.


You might ask yourself:"That's all nice but why would I need something like that? I'm no mathematician or AI programmer."

But the fact that you are not an expert means you need it much more than them.

Knowledge is power. And in today's world filled with information it is harder than ever to make rational judgments.

For example, consider simple matter of drug test.
If it comes positive for 95 out of 100 proven drug users but it also comes positive for about 5 out of 100 proven nonusers, it could be considered pretty accurate.

After all it was wrong only five times in a hundred.

But there are much fewer users than nonusers. If, for example, just one in hundred was actually a drug user then the positive test would be correctly positive in just 16% of all cases.
If you were going by the test alone a lot of innocent people could get caught in the net.

And that is just one example of where you can, and should, use Bayes' theorem.

New features

Initial release