In recruiting, machine learning models can predict the best candidates for a vacancy and match vacancies for a candidate. While useful, models must first be validated.
Join this webinar to learn how to validate your recommender models to ensure accurate predictions, even with data sparsity.
You can join the session with this Zoom meeting link:
https://us02web.zoom.us/meeting/register/tZclduCvpj4iHNBaBAxVxt5oe9oFU_s7aZ2c
*Please make sure to leave time before the start of the session for registration
Speaker: Shaan Khosla
Hi, my name is Shaan Khosla, and I focus on challenging text-related ML problems. As a data scientist at Nebula, I research, design, and develop NLP machine learning models. These models predict matches between job descriptions and candidate resumes at a scale of hundreds of millions.
Sponsorship: Manning Publications This event is sponsored by Manning Publications. Visit manning.com and use code "weclouddata39" to receive a 39% discount on your next purchase. This discount code is eligible for all books and items sitewide.