Unravelling the mysteries of Artificial Intelligence

About Deep Biology Program Cere Labs is happy to start the Deep Biology program under the umbrella of CoE with Patkar-Varde College, Goregaon. This unique program brings together multiple departments in Patkar-Varde College, Goregaon to collaborate with CereLabs. The objective is to use Deep Learning and Machine Learning for Drug Discovery and Personalised Oncology. The Deep Biology program took place in four phases: Phase I - April ‘17 to May ‘17 - Decide Areas   In the first phase the following two areas were decided: Drug Discovery and Personalised Oncology Drug design is an expensive process. A new drug takes 10 to 15 years and costs more than $250 billion to introduce it to market. Applying Machine Learning to drug discovery will reduce both the time and cost of discovering a new drug. Personalized oncology   Personalized oncology is the method of offering customized medicine for a cancer patient based on the person’s genetic makeup. Machine Learning tec

This is a follow up article on "The Importance of F1 Score" in which we understood the technical aspects of evaluating a Machine Learning model. In this article we will understand how different evaluation metrics can help us in designing solutions based on the problem statement and domain. I will like to distinguish evaluation metrics with respect to the following criteria: When there is life involved : In case of aircraft or ships, where a Machine Learning algorithm misses to detect a failure can be a costly affair, since there is life involved. Also in the case of detecting cancer, a failure to predict a true positive can lead to delay in treatment, and hence can be life threatening. In cases such as detecting failures in aircrafts, even if we get false positives is acceptable, but not able to detect true positives can be too expensive in terms of loss of life. Thus it becomes important to use Recall as a measure, as any positive detection becomes important, even