World Congress 2024 • Aug 20, 2024 • Session details

Semi-Supervised Learning. How to overcome the lack of labels

Data labeling is an expensive bottleneck. What if you could hit 95% accuracy with just 100 labels? Discover how semi-supervised learning makes this a reality.

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Matching moments

2:03 min

Structuring the machine learning solution approach architecture

Lukas Kölbl · LIVE

2:33 min

Generating synthetic training data to resolve labeling challenges

Teresa Conceicao · World Congress 2022

3:00 min

Cleaning missing values and expanding datasets with data augmentation

Lutske van der Meer

Lutske van der Meer · World Congress 2024

4:38 min

Preparing data and labeling for supervised learning

Antonia Hahn · World Congress 2023

1:45 min

Supervised, unsupervised, and reinforcement learning paradigms explained

Alexandra Waldherr · LIVE

1:22 min

Increasing model accuracy through synthetic data generation

Ekaterina Sirazitdinova · World Congress 2023

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