Data augmentation is the process of artificially increasing the size of a dataset by creating modified or transformed versions of the original data. This technique is commonly used in machine…
Tag: data augmentation
There are several data augmentation techniques suitable for text data that you can try besides back-translation. Here are some examples: Here’s an example code that implements these data augmentation techniques:
If you have a csv file with data in few columns and few rows and you want to generate a bigger dataset using some data augmentation technique, Back Translation is…
Assuming you have a csv file with a few rows of data and you want to generate 1000s of additional rows with similar data, you can use Python’s Pandas library…
Here’s an example of how you can generate a fake text column with some data augmentation technique using the Faker library in Python: In this example, we read the input…
Here’s an example of how you can use a pre-trained language model to generate fake text that matches the words in the sample text column: In this example, we load…
There are many case studies of machine learning (ML) projects where data augmentation played a key role in the success of the project. Here are a few examples: These are…
Generative AI and data augmentation share some similarities, but they are not the same thing. Data augmentation is a technique used to artificially increase the size of a dataset by…
Generative AI can be used to increase the size of a training dataset by generating synthetic data that is similar to the real data. This approach is known as data…
There are several tools available that can help to automatically generate huge datasets from a small sample. Some of the commonly used tools are: These tools can be useful for…