Data science is pertinent to many fields including finance, social media, security, healthcare, defense, medicine, economics, marketing, fraud detection, geolocation, and many more.
During different phases of Data Science, data is discovered, conditioned, extracted, compiled, processed, analyzed, interpreted, modeled, visualized, reported, and presented regardless of the size of the data being processed to have some actionable items to be used for business purposes.
In this newsletter, we bring you the concepts that help us to gain insight into Data Science and its trends, Data Science types, Machine Learning Life cycle so that you can have good understanding about it.
Our bloggers are the test management experts at QASource. They are executives, QA managers, team leads, and testing practitioners. Their combined experience exceeds 100 years and they know how to optimize QA efforts in a variety of industries, domains, tools, and technologies.