Hypothesis testing from traditional statistics is commonly used in decision making for science and business alike. The heart of Fisherian testing (46) lies in calculating the P value, which represents ...

Machine learning’s impact on technology is significant, but it’s crucial to acknowledge the common issues of insufficient training and testing data.

Data science in hypothesis testing is a common statistical technique used to support the confidence of results in research evident impact is to be discovered.

In this article, I am trying to clarify the concept of Hypothesis Testing and its importance in the world of Data Science. Ronald Coase said “ Torture the data, and it will confess to Anything ”.

Data Science: Challenges and Opportunities Companies like Amazon and Walmart have millions of customer transactions every hour while Facebook has over 250 Petabytes of data added daily.

Since data science is a comparably new field, there are probably more definitions of data science than there are data scientists. In my opinion, data science is not about data, but it is about a ...