Data Augmentation Courses and Certifications

Georgia Tech Research

Tune in and Dropout - How Data Augmentation Can Help Us Build Better Brain Decoders

Explore data augmentation techniques for improving brain decoders, enhancing neural signal interpretation and brain-computer interface performance.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Data Augmentation for Image-Based Reinforcement Learning

Explores data augmentation techniques for image-based reinforcement learning, presenting a model-free algorithm and a self-supervised framework for visual continuous control tasks, achieving state-of-the-art results.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Credential

Generative AI for Data Scientists

11689 ratings at Coursera

Boost your data science career with generative AI skills. Learn basics, prompt engineering, and applications in data science methodology using IBM tools like Watsonx and Prompt Lab.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

DigitalSreeni

Data Augmentation Using Keras

Explore image augmentation techniques using Keras, including reshaping and multiclass augmentation, to enhance your deep learning models.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Aladdin Persson

Albumentations Tutorial for Data Augmentation - PyTorch Focused

Learn data augmentation techniques using Albumentations library for image classification, segmentation, and object detection tasks, with a focus on PyTorch implementation and practical examples.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Graham Neubig

CMU Multilingual NLP 2020 - Data Augmentation for Machine Translation

Explore data augmentation techniques for machine translation, including back-translation, multilingual training, and dictionary-based methods to improve low-resource language performance.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

RSA Conference

Data Augmentation Using Generative Adversarial Networks for All the Crypto You Need on Small Devices

Explore innovative data augmentation techniques using GANs for enhancing cryptographic capabilities on resource-constrained devices, presented by a PhD scholar at RSA Conference.

• YouTube
• 34 minutes
• Self-Paced
• Conference Talk

Association for Computing Machinery (ACM)

Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition - Lecture 1

Explore data augmentation techniques for improving complex named entity recognition in low-resource scenarios, enhancing NLP model performance.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Style Transfer for Data Augmentation in Sequence Labelling Tasks - September 2022

Explore style transfer for data augmentation in sequence labeling tasks, focusing on named entity recognition in social media. Learn about improving domain adaptation and addressing data scarcity.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Credential

Data Processing for LLMs

Master text cleaning, tokenization, vectorization, and chunking techniques to build high-quality data pipelines for large language models and NLP applications.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate
• 4 courses

Generative AI: Introduction and Applications

4322 ratings at Coursera

Explore generative AI's capabilities, applications, and tools across various domains. Gain hands-on experience with IBM Generative AI Classroom and popular tools like ChatGPT.

• Coursera
• 8 hours 6 minutes
• Self-Paced
• Paid Course

Credential

Generative Adversarial Networks (GANs)

2370 ratings at Coursera

Explore image generation with GANs, from foundational concepts to advanced techniques. Gain hands-on experience using PyTorch, create realistic outputs, and understand social implications like bias and privacy in machine learning.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Apply Generative Adversarial Networks (GANs)

548 ratings at Coursera

Explore GANs for data augmentation, privacy, and image translation. Implement Pix2Pix and CycleGAN models to transform images, from satellite views to map routes and horses to zebras.

• Coursera
• 1 day 1 hour 39 minutes
• Self-Paced
• Paid Course

Next in Data Visualization - Interactive Systems for Intelligence Augmentation

1 rating

Explore interactive data visualization as a tool for studying user interface design and human-computer interaction, with insights from award-winning systems used by Wikipedia and Jupyter/Python communities.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Deep Learning: Convolutional Neural Networks in Python

6846 ratings at Udemy

Tensorflow 2 CNNs for Computer Vision, Natural Language Processing (NLP) +More! For Data Science & Machine Learning

• Udemy
• 13 hours 54 minutes
• Self-Paced
• Paid Course