Probability and Bayes Theorem for Beginners

Thinking of learning Probability and Bayes Theorem? Then you have landed in the right place. If you want to well understand Bayes theorem as well as apply its principles, you must first master the concept of probability. Probability is the likelihood that something will happen, describing such things as the chances of you drawing a specific card, say an ace, from a deck of playing cards. There are a simple ways to calculate such probabilities using the information you have in front of you, however Bayesian probability takes this one step further by incorporating previously known information to inform these calculations. Probability and Bayes theorem is present everywhere in many of the different things that we carry out throughout the day, such as Googling the internet, applying spam filters, machine learning, and so much more. This book aims to help build a foundation for the understanding of Bayes' theorem using a step-by-step method that introduces the various elements of probability before approaching the theorem itself. Understanding these sometimes rather complex concepts is made very easy with the use of several examples and everyday applications of probability. You will find that being in possession of a solid understanding of the ideas related to and applications of both probability and Bayes theorem in particular will assist you in comprehending and indeed engaging with some of the ways that these concepts are used today, including practical examples like "We want to go for a picnic but it is cloudy. Is it likely to rain?" or "What are the chances that someone has an allergy?" or even "In a zombie apocalypse, how likely is my test kit to determine whether someone is really infected?." This book will help you explore exactly what Probability and Bayes Theorem are and will introduce the reader the concepts, applications and practical case studies. By the time you are done reading this book, you will have a complete understanding as to how to measure probability and how Bayes Theorem works. Following are the important points discussed in this book: What is a Probability? Overview of Probability Basics in Set Theory Axioms and Rules of Probability Use a Tree to calculate Probabilities Probability with Combinations And Permutations Formulas Probability Distribution Conditional Probability Bayes' Theorem Book Objectives To have a right understanding of Probability and Bayes Theorem and their fundamental principles. To have an elementary understanding of (some of the) more advanced topics such as Naive Bayes Method in Machine Learning Target Users This book designed for a variety of target audiences. The most suitable users would include: Newbies in statistics and Probability Professionals in Data scientist and Social Sciences Professors, lecturers, or tutors to be in position to find better ways to explain the content to their students with simples and easiest way The students and Academicians, especially those that are focusing on Bayes Theorem, Computer Sciences and Statistics as their professions Therefore, what are you waiting for; let us start delving into the fascinating and useful world of probabilities! Scroll to the top and click on 'buy now' to get started.