Transfer Learning with Transformers you own this product

prerequisites
basics of scikit-learn, PyTorch, and Matplotlib
skills learned
model monitoring • transfer learning using state-of-the-art NLP model • model diagnostics
Winnie Yeung and Eyan Yeung
1 week · 4-6 hours per week · INTERMEDIATE
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In this liveProject, you’ll use transformer-based deep learning models to predict the tag of Reddit subreddits to help your company understand what its customers are saying about them. Transformers are the state of the art, large-scale deep language models pretrained on a huge corpus of text, and are capable of understanding the complexity of grammar really well. You’ll train this model on your own data set, and tune its hyperparameters for the best results.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project authors

Man Wai Winnie Yeung
Winnie Yeung is a full-stack senior data scientist at Visa in the San Francisco Bay Area, working on developing and deploying risk-related machine learning solutions. She earned her master’s in analytics at Georgia Institute of Technology and has 3 years of experience working on natural language processing projects in the investment industry. She actively contributes to the open-source community by creating a neural machine translation package on PyPI, as well as giving talks at PyCon Hong Kong.
Eyan Yeung
Eyan Yeung, PhD is a full-stack data scientist in New Jersey using various machine learning models and data science techniques to fight adversarial abuse. She earned her PhD in molecular biology at Princeton University, having used unsupervised machine learning techniques and built mathematical models to analyze large-scale biological datasets. She has experience completing multiple end-to-end projects in image classification and natural language processing.

prerequisites

This liveProject is for confident Python programmers interested in taking their first steps into data analysis for marketing. To begin this liveProject you will need to be familiar with the following:


TOOLS
  • Basics of scikit-learn
  • Basic PyTorch
  • Basics of Matplotlib
  • Basics of Git
TECHNIQUES
  • Basic knowledge of neural networks
  • Basic concepts in machine learning

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