Deep Learning for Natural Language Processing: Tutorials with Jupyter Notebooks

At untapt, all of our models involve Natural Language Processing (NLP) in one way or another. Our algorithms consider the natural, written language of our users' work experience and, based on real-world decisions that hiring managers have made, we can assign a probability that any given job applicant will be invited to interview for a given job opportunity. With the breadth and nuance of natural language that job-seekers provide, these are computationally complex problems. We have found deep learning approaches to be uniquely well-suited to solving them. To share my love of deep learning for NLP, I have created five hours of video tutorial content paired with hands-on Jupyter notebooks.