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# conditional probability

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### An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals

Overview Bayes’ Theorem is one of the most powerful concepts in statistics – a must-know for data science professionals Get acquainted with Bayes’ Theorem, …

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### 6 Easy Steps to Learn Naive Bayes Algorithm with codes in Python and R

Note: This article was originally published on Sep 13th, 2015 and updated on Sept 11th, 2017 Overview Understand one of the most popular and …

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### 40 Questions on Probability for data science

Introduction Probability forms the backbone of many important data science concepts from inferential statistics to Bayesian networks. It would not be wrong to say …

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### Introduction to Conditional Probability and Bayes theorem in R for data science professionals

Introduction Understanding of probability is must for a data science professional. Solutions to many data science problems are often probabilistic in nature. Hence, a better …

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### Basics of Probability for Data Science explained with examples in R

Introduction Statistically, the probability of any one of us being here is so small that you’d think the mere fact of existing would keep …

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### Bayesian Statistics explained to Beginners in Simple English

Overview The drawbacks of frequentist statistics lead to the need for Bayesian Statistics Discover Bayesian Statistics and Bayesian Inference There are various methods to …

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### Solve a business case using simple Markov Chain

Markov process fits into many real life scenarios. Any sequence of event that can be approximated by Markov chain assumption, can be predicted using …

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### Probability in action: Could Monty Hall have made more money on the show?

Monty Hall could have lost 66.7% of times in the show, if contestant consistently took the best strategy. Could he reduce these losses and …

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### Solving Accuracy vs. Cost using probabilities (with case study)

As a manager, you face cost vs. quality / accuracy trade-offs on a regular basis. This can be in the form of any of …

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