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on
1
Intro
2
Who we are
3
Label data
4
The ground truth
5
Example
6
Unsupervised Machine Learning
7
Offshore Wind Park
8
Case Study
9
Auto Encoder
10
Data Augmentation
11
Object Detection
12
Too Much Data
13
Car Example
14
Summary
15
Questions
Description:
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.

Data Science in Action

WeAreDevelopers
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