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 …
conditional probability
Introduction to Conditional Probability and Bayes theorem 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 …
Basics of Probability for Data Science explained with examples
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 …
Bayesian Statistics explained to Beginners in Simple English
Introduction Bayesian Statistics continues to remain incomprehensible in the ignited minds of many analysts. Being amazed by the incredible power of machine learning, a …
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 …
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 …
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 …
Demystifying LinkedIn using probabilities
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 …
