Participate in a comprehensive workshop led by Dia Trambitas, Solution Lead at John Snow Labs, and Veysel Kocaman, Senior Data Scientist at John Snow Labs and lecturer at Leiden University. This 1 hour and 25 minute session, presented as part of the Toronto Machine Learning Series (TMLS), focuses on training custom clinical Named Entity Recognition (NER) models using Spark NLP. Gain insights from Kocaman's extensive experience in data science, machine learning, artificial intelligence, and big data, as well as his ongoing Ph.D. research in Computer Science. Learn practical techniques for developing specialized NER models tailored to clinical applications, leveraging the power of Spark NLP to enhance your natural language processing capabilities in the healthcare domain.
Training Custom Clinical NER Models with Spark NLP
Toronto Machine Learning Series (TMLS) via YouTube
Overview
Syllabus
Dia Trambitas and Veysel Kocaman - Workshop: Training custom clinical NER models with Spark NLP
Taught by
Toronto Machine Learning Series (TMLS)
Related Courses
-
Feature Engineering for NLP in Python
-
MLOps with MLFlow: Working with Spacy NLP and Training NER Models
-
Apache Spark NLP for Healthcare - Building Real-World AI Systems
-
Custom NER with spaCy v3 Tutorial - Named Entity Recognition Tutorial
-
Advanced Natural Language Processing with Apache Spark NLP
-
Spark NLP - State-of-the-Art Natural Language Processing at Scale
