Machine Learning (ML) has been among the top strategies for almost every organization - whoever adopts the new methodology early and quickly establishes the corporate capability will gain competitive advantages in the market.
However, because ML is still a relatively new field and data science is a skillset that is scarce for many companies, how to make the journey move at optimal speed without disaster or time wasted…Continue
Added by Stephanie Shen on March 24, 2019 at 2:30pm — No Comments
There are numerous aspects of data science that determine a project’s success; from posing the right questions through to identifying and preparing relevant data, applying suitable analytical techniques, and finally, validating the results. This article focuses on the importance of selecting the appropriate analytical technique by demonstrating how different binary classification algorithms can fail in detecting data patterns using freely…Continue
Added by Jacek Kowalski on November 12, 2017 at 12:30am — No Comments