Data Augmentation in NLP
Augment your Dataset and Outperform
- Description
- Curriculum
- FAQ
- Reviews
You might have optimal machine learning algorithm to solve your problem. But once you apply it in real world soon you will realize that you need to train it on more data. Due to lack of large dataset you will try to further optimize the algorithm, tune hyper-parameters or look for some low tech approach. Most state of the art machine learning models are trained on large datasets. Real world performance of machine learning solutions drastically improves with more data.
Through this course you will learn multiple techniques for augmenting text data. These techniques can be used to generate data for any NLP task. This augmented dataset can help you to bridge the gap and quickly improve accuracy of your machine learning solutions.
Word embeddings
Back Translation
Ensemble Approach
Comparison
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Stars 5
22
Stars 4
23
Stars 3
8
Stars 2
2
Stars 1
0
Course available for 2 days
Course details
Video
1 hours
Certificate of Completion
Full lifetime access
Access on mobile and TV
Popular courses
