Bayes Theorem: A Visual Introduction For Beginners by Dan Morris
Author:Dan Morris [Morris, Dan]
Language: eng
Format: epub, mobi
Publisher: Blue Windmill
Published: 2016-10-02T05:00:00+00:00
Path 4: No Rebel - Predict No
Label NN
Compute: .43 x .85 = 0.3655
** How did we find .85 ? Since the probability of both branches together is 100%, or 1, we subtracted .15 from 1. 1-.15 = .85
Step 4.
Once we have our numbers, we need to sum Path 1 and Path 3. Here is why we are doing this:
The sum of Path 1 and Path 3 tells us the probability of Intel having a positive (yes) prediction. In other words it tells us P(B), which is our missing ingredient.
When we sum Path 1 and Path 3 we are adding both ways Intel can come to a positive (yes) prediction. Path 1 represents Intel predicting “yes” when the soldier is a rebel. Path 3 represents Intel predicting “yes” when the soldier is not a rebel.When we add these paths together, we find P(B)
Download
Bayes Theorem: A Visual Introduction For Beginners by Dan Morris.mobi
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Biomathematics | Differential Equations |
Game Theory | Graph Theory |
Linear Programming | Probability & Statistics |
Statistics | Stochastic Modeling |
Vector Analysis |
Modelling of Convective Heat and Mass Transfer in Rotating Flows by Igor V. Shevchuk(6201)
Weapons of Math Destruction by Cathy O'Neil(5779)
Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think by Hans Rosling(4454)
Descartes' Error by Antonio Damasio(3139)
A Mind For Numbers: How to Excel at Math and Science (Even If You Flunked Algebra) by Barbara Oakley(3076)
Factfulness_Ten Reasons We're Wrong About the World_and Why Things Are Better Than You Think by Hans Rosling(3025)
TCP IP by Todd Lammle(2982)
Applied Predictive Modeling by Max Kuhn & Kjell Johnson(2858)
Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets by Nassim Nicholas Taleb(2834)
The Tyranny of Metrics by Jerry Z. Muller(2819)
The Book of Numbers by Peter Bentley(2744)
The Great Unknown by Marcus du Sautoy(2516)
Once Upon an Algorithm by Martin Erwig(2457)
Easy Algebra Step-by-Step by Sandra Luna McCune(2435)
Lady Luck by Kristen Ashley(2386)
Practical Guide To Principal Component Methods in R (Multivariate Analysis Book 2) by Alboukadel Kassambara(2358)
Police Exams Prep 2018-2019 by Kaplan Test Prep(2334)
All Things Reconsidered by Bill Thompson III(2242)
Linear Time-Invariant Systems, Behaviors and Modules by Ulrich Oberst & Martin Scheicher & Ingrid Scheicher(2210)
