KC Tung

KC Tung is an AI architect, machine learning engineer, and data scientist who specializes in delivering AI, deep learning, and NLP models across enterprise architectures. As a Solution Architect in Annapurna Labs of Amazon Web Service, he helps enterprise customers with use case driven architecture, AI/ML model development/deployment in the cloud, and technology selection and integration best suited for their requirements. He is a Microsoft certified AI engineer and data engineer. He has a PhD in molecular biophysics from the University of Texas Southwestern Medical, and has spoken at the 2018 O'Reilly AI Conference in San Francisco and the 2019 O'Reilly TensorFlow World Conference in San Jose.

projects by KC Tung

Training Models on Imbalanced Text Data

4 weeks · 4-7 hours per week average · ADVANCED

Included with a Manning Online subscription

catalog / Data Science / Machine Learning / Natural Language Processing

In this series of liveProjects, you’ll take on the role of a data scientist working for an online movie streaming service. Your bosses want a machine learning model that can analyze written customer reviews of your movies, but you discover that the data is biased towards negative reviews. Training a model on this imbalanced data would hurt its accuracy, and so your challenge is to create a balanced dataset for your model to learn from. You'll collect your company’s data by deliberately introducing imbalance to an IMDb (Internet Movie Database) review dataset, use a sampling technique to balance the dataset, then build a machine learning model from the dataset.