This plan includes
- Limited free courses access
- Play & Pause Course Videos
- Video Recorded Lectures
- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Email & Chat Support
What you'll learn?
- Data Augmentation using Word Embeddings
- Data Augmentation using Word Embeddings - Implementation
- Data Augmentation using BERT
- Data Augmentation using BERT - Implementation
- Data Augmentation using Back Translation
- Data Augmentation using Back Translation - Implementation
- Data Augmentation using T5
- Data Augmentation using T5 - Implementation
- Improving Quality of Augmented Data using Similarity Filter
- Ensemble Approach for Data Augmentation
- Comparison of Data Augmentation Techniques
Course Overview
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.
Pre-requisites
- Basic knowledge of machine learning and NLP is good to have
Target Audience
- Anyone interested in machine learning and NLP
Curriculum 12 Lectures 00:11:40
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Section 1 : Introduction
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Section 2 : Word Embeddings
- Lecture 1 :
- Data Augmentation using Word Embeddings
- Lecture 2 :
- Implementation
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Section 3 : BERT
- Lecture 1 :
- Data Augmentation using BERT
- Lecture 2 :
- Implementation
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Section 4 : Back Translation
- Lecture 1 :
- Data Augmentation using Back Translation
- Lecture 2 :
- Implementation
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Section 5 : T5
- Lecture 1 :
- Data Augmentation using T5
- Lecture 2 :
- Implementation
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Section 6 : Ensemble Approach
- Lecture 1 :
- Similarity Filter
- Lecture 2 :
- Ensemble Approach
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Section 7 : Comparison
- Lecture 1 :
- Comparison
Our learners work at
Frequently Asked Questions
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How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time. -
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic. -
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on. -
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want. -
Do i need a pc to access the course or can i do it on mobile & tablet as well?
Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly. -
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Is there any free trial?
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Can i cancel anytime?
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