conditional probability

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

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

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

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 …

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 …

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

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

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 …

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

You will be able to view only 1-2 Million of profiles out of 18 Million profile on LinkedIn, if you are a non premium …