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The Hottest Topics in Machine Learning

Use Natural Language Processing on NIPS papers to uncover the trendiest topics in machine learning research.

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8 Tasks1,500 XP

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Project Description

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).

Project Tasks

  1. 1
    Loading the NIPS papers
  2. 2
    Preparing the data for analysis
  3. 3
    Plotting how machine learning has evolved over time
  4. 4
    Preprocessing the text data
  5. 5
    A word cloud to visualize the preprocessed text data
  6. 6
    Prepare the text for LDA analysis
  7. 7
    Analysing trends with LDA
  8. 8
    The future of machine learning
Technologies
Python Python
Topics
Data ManipulationData VisualizationMachine LearningProbability & StatisticsImporting & Cleaning Data
Lars Hulstaert Headshot

Lars Hulstaert

Data Scientist at Microsoft
Lars Hulstaert is a Data Science and Machine Learning consultant at Microsoft. Before that, he was a Master's student at the University of Cambridge and an engineering student at Ghent University. You can follow him on Twitter at @larshulstaert.
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