Understanding Data Augmentation

Learn what data augmentation is and how it helps improve model training by creating smarter data instead of simply collecting more.

Understanding Data Augmentation
Aishwarya Srinivasan
945 views • May 16, 2025
Understanding Data Augmentation

About this video

WTH is Data Augmentation
You don’t always need more data- sometimes, you just need smarter data.
Enter: Data Augmentation 🔁

Whether you're training models in vision, text, or audio, adding creative tweaks to your existing dataset can massively improve generalization:

🖼️ Computer Vision – Rotate, flip, crop, brighten, or add noise with tools like ImageDataGenerator or Albumentations.

✍️ NLP – Swap synonyms, try back-translation, or mask words to simulate new language patterns.

🎧 Audio – Add background noise, shift pitch, or time-stretch to handle real-world acoustic variation.

No extra data collection. Just powerful transformations that help your model see, read, and hear better.

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Hi, I am Aishwarya Srinivasan, a data scientist, and a startup AI Advisor. I currently lead Developer Relations at Fireworks AI. I have a Masters in Data Science from Columbia University. I love creating educational content to teach people about AI topics, interview tips, personal branding, and productivity hacks.

Video Information

Views

945

Likes

31

Duration

2:30

Published

May 16, 2025

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