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Bayes’ Theorem
Bayes’ Theorem is my all-time favorite statistical theory. It helps us understand what seems like straightforward problems in probability with counter-intuitive solutions! Like what is the…
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All about Bayes Theorem!
Ever wondered about calculating the probability of an event based on some other event, it would have been fun right! If till now you have not figured out trying the above scenario, I will help you…
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Bayes’ Rule Applied
The fundamental idea of Bayesian inference is to become “less wrong” with more data. The process is straightforward: we have an initial belief, known as a prior, which we update as we gain additional…...
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Bayes Theorem
It is always believed that the past experience always effects the current decision making. This concept cannot be better explained than the Bayes Theorem in Statistics. Here in this blog I want to…
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Bayes Rule
Bayes’ Theorem is a simple mathematical formula used for calculating conditional probabilities. It figures prominently in subjectivist or Bayesian approaches to epistemology, statistics, and…
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Basic probability and Bayes theorem
When you hear of probability, you remember that one chapter you had left as a choice in your 12th grade, right? Well, you might have had ignored it in your 12th grade, but you never did ignore it in…
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Understanding Bayes’ Theorem
It’s one of the most famous equations in the world of statistics and probability. Even if you don’t work in a quantitative field, you’ve probably had to memorize it at some point for an exam. But…
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Bayesian Statistics and Bayes Theorem
If I had to guess, most of the statistical theory you’ve learned has been from a Frequentist’s prism. T-tests, z-tests, p-values, and ANOVA, just to name a few, are all from the viewpoint of…
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Bayes’ Theorem explained
Bayes’ Theorem provides a way to calculate updated probability of an event when new information becomes available. Simply put, it is a way of calculating conditional probability. In this post, we…
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Bayes’ Theorem — Some Perspectives
Recently I am reading books related to history of mathematics, which reminds me of the fact that all complicated-looking equations started from a small, real world problem. The benefits of studying…
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An introduction to Bayes’ theorem
In real life, we can know the number of occurrences of an event relative to other events. For example, let's throw a fair dice. We understand that each face has an equal chance to appear, so we say…
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Conditional Probability and Bayes’ Theorem Simply Explained
A simple and intuitive explanation of conditional probability and Bayes’ theorem. Continue reading on Towards AI
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Probability Learning I : Bayes’ Theorem
This post assumes you have some basic knowledge of probability and statistics. If you don’t, do not be afraid, I have gathered a list of the best resources I could find to introduce you to these…
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Bayes’ Theorem, Simply Explained
Bayes’ Theorem formalizes how to calculate the probability of an event to occur given our incomplete knowledge about other factors affecting its realization, and our pre-existing belief. For example…
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Bayes’ Theorem 101 — Example Solution
Conditional probability is the sine qua non of data science and statistics. There are many useful explanations and examples of conditional probability and Bayes’ Theorem. In this article, I will…
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Naive Bayes Theorem
Bayes theorem is one of the earliest probabilistic inference algorithms developed by Reverend Bayes (which he used to try and infer the existence of God no less) and still performs extremely well for…...
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Probability and Bayes Theorem For Data Science
Probability theory is the mathematical foundation of statistical inference which is indispensable for analyzing data affected by chance, and thus essential for data scientists. “Data science” means…
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Bayes Theorem Demystified
This is a fictional story of a high school student Ken, and his math teacher Dr. Demystifier (Dr. D). Ken has just learned the Bayes theorem but he was completely mystified by the formula, not…
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From Bayes’ Theorem to Bayesian Inference
Bayes’ Theorem is an important law in probability theory. It is applied in frequentist, as well as Bayesian statistics. Using Bayes’ Theorem in itself, however, does not amount to what we think of as…...
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Bayes’ Theorem For Bae
Bayes’ Theorem is something that confuses and frustrates many, but is not as awful as many make it out to be. It is written out as: where P(A) means the probability that event A occurs, and P(A|B)…
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Bayes’ Theorem with Example for Data Science Professionals
Bayes Theorem is the extension of Conditional probability. Conditional probability helps us to determine the probability of A given B, denoted by P(A|B). So Bayes’ theorem says if we know P(A|B) then…...
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Bayes’ rule with a simple and practical example
Bayes’ theorem has been called the most powerful rule of probability and statistics. We show its application through simple yet practical examples with Python code.
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A different take on Bayes Rule
Most people reading this article have seen demonstrations of each probability distribution in Bayes Rule. Most people reading this have been formally introduced to the terms “posterior”, “prior”, and…...
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Practice with Bayes
A standard poker deck is shuffled and the card on the top is removed. What is the probability the second card is a Queen? There are 4 queens in a 52 card card deck. 48 of the cards are not queens…
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