Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research.
Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world where groundbreaking work is published. In this Project, you will analyze a large collection of NIPS research papers from the past decade to discover the latest trends in machine learning. The techniques used here to handle large amounts of data can be applied to other text datasets as well.
Familiarity with Python and pandas is required to complete this Project, as well as experience
with Natural Language Processing in Python (
sklearn specifically). Check out DataCamp's pandas Foundations,
Manipulating DataFrames with pandas, and
Natural Language Processing Fundamentals in Python
courses to get familiar or brush up on your skills.
Data Scientist at Microsoft
Lars is a Data Scientist at Microsoft where he helps enterprise customers with their machine learning projects. He obtained an MPhil. in Machine Learning from the University of Cambridge, a BSc. and MEng. in Computer Science from Ghent University. Lars is passionate about enabling others to achieve more by being data-driven. As he believes that education is key, he writes blogposts on Medium, makes content for Datacamp and mentors students on Springboard after-hours. You can follow him on Twitter at @larshulstaert.See More