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Machine Learning Quick Reference

You're reading from  Machine Learning Quick Reference

Product type Book
Published in Jan 2019
Publisher Packt
ISBN-13 9781788830577
Pages 294 pages
Edition 1st Edition
Languages
Author (1):
Rahul Kumar Rahul Kumar
Profile icon Rahul Kumar
Toc

Table of Contents (18) Chapters close

Title Page
Copyright and Credits
About Packt
Contributors
Preface
1. Quantifying Learning Algorithms 2. Evaluating Kernel Learning 3. Performance in Ensemble Learning 4. Training Neural Networks 5. Time Series Analysis 6. Natural Language Processing 7. Temporal and Sequential Pattern Discovery 8. Probabilistic Graphical Models 9. Selected Topics in Deep Learning 10. Causal Inference 11. Advanced Methods 1. Other Books You May Enjoy Index

Bayes rule


Bayes rule is one of the building blocks of probability theory. It stems from conditional probability and joint probability and extends beyond.

We will explain this in a simple way by again taking an example from cricket. In cricket, pitch condition varies as you go from one place to another and it is one of the factors that can be significant when deciding the team. The outcome can also be dependent upon it.

Let's say the Indian team goes to Australia for a game and we have to predict the belief of an Indian player scoring a century (100 runs) in the game. If that player has got experience of playing in that country, we might say with strong belief that he might score a century. But, there is another player who is a first-timer in this country. What would the the prior belief be for him? Of course, many would have less belief that he would score a century.

However, our prior belief will change as we see the way the player is performing. That is, more data about the player will be...

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