Numsense! Data Science for the Layman Quotes

“supervised model could learn to forecast”
― Annalyn Ng, Numsense! Data Science for the Layman: No Math Added

“There are four key steps in a data science study. First, the data must be processed and prepared for analysis. Next, suitable algorithms are shortlisted based on our study’s requirements. Following which, parameters of the algorithms have to be tuned to optimize results. These finally culminate in the building of models that are then compared to select the best one.”
― Annalyn Ng, Numsense! Data Science for the Layman: No Math Added

“Logarithmic Loss (Log Loss). Predictions for binary and categorical variables are generally expressed as a probability, such as the probability that a customer would buy fish. The closer this probability is to 100%,”
― Annalyn Ng, Numsense! Data Science for the Layman: No Math Added