
Course Overview
After attending the course attendees should be able to:
• Use deep learning frameworks to define and solve various of NLP tasks.
• Read an NLP paper to keep up with future advancements.
Prerequisites
• Proficiency in Python
• Basic knowledge in Linear algebra and calculus
• Basic probability and statistics.
• Foundations of Machine Learning
Who should take this course?
Junior data scientists who wish to deepen their knowledge in Deep Learning and NLP