Explore the practical applications of data science in this 32-minute conference talk by Dr. Olivia Lewis. Delve into key concepts such as label data, ground truth, and unsupervised machine learning. Examine real-world case studies, including an offshore wind park project and object detection in cars. Learn about data augmentation techniques and strategies for handling large datasets. Gain insights into the challenges and solutions in implementing data science across various industries, concluding with a summary and Q&A session.

Syllabus

Intro
Who we are
Label data
The ground truth
Example
Unsupervised Machine Learning
Offshore Wind Park
Case Study
Auto Encoder
Data Augmentation
Object Detection
Too Much Data
Car Example
Summary
Questions