Continued from - Art of Data Science part 1

During the execution of a Data science initiative, one person has to constantly think big and about the business application of the project. May be this is needed in any IT project. But the…

Data Scientist communities have their own complex jargon; multivariate regression models, Big data engineering, Hadoop, Map Reduce, Deep Learning etc. But, unfortunately businesses do not seem to care about how complex the term is or how impressive the math is! They want the results explained in non-tech terms.

While working on Big Data & planning to…