Learn about the concept of the likelihood function as it supervises models from logistic regression to deep learning.
About this Event
Machine learning enables a system to learn from data instead of explicit programming. It is a form of AI that can produce predictions as a predictive algorithm trains input data. As data science professionals, we must ensure that our models will provide accurate predictions at best, so we develop ways to monitor our predictive model’s performance at every stage.
Join us on October 28, Wednesday, and learn about the concept of the likelihood function in logistic regression. A likelihood function is a widely accepted concept for such measurement, from a simple linear model such as logistic regression to a sophisticated neural network.
Moreover, you will understand that a model can be taken for a family of parameterized distributions. This idea will also be generalized to a simple linear regression to introduce the likelihood approach to train a model.
This workshop is best for professionals interested in learning more about the practical applications of AI and machine learning.
About NYC Data Science Academy
NYC Data Science Academy provides award-winning accelerated data science training programs and courses that prepare people for employment opportunities across all industries as data science professionals. Our data science bootcamps, full-time and part-time, have been recognized the Best Data Science Bootcamp for 5 years in a row by Switchup.org.
