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Development Data Science Natural Language Processing

Data Augmentation in NLP

Augment your Dataset and Outperform
Rating: 4.3 out of 54.3 (51 ratings)
14,405 students
Created by Prathamesh Dahale
Last updated 12/2020
English
English
30-Day Money-Back Guarantee

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 content

7 sections • 12 lectures • 51m total length

  • Preview01:11

  • Preview03:30
  • Implementation
    04:20

  • Data augmentation using BERT
    04:35
  • Implementation
    04:12

  • Data augmentation using Back Translation
    04:09
  • Implementation
    05:09

  • Data augmentation using T5
    05:15
  • Preview06:09

  • Similarity filter
    04:30
  • Ensemble Approach
    04:30

  • Comparison
    03:40

Requirements

  • Basic knowledge of machine learning and NLP is good to have

Description

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.

Who this course is for:

  • Anyone interested in machine learning and NLP

Instructor

Prathamesh Dahale
Computer Science Engineer | Specialist Programmer
Prathamesh Dahale
  • 4.3 Instructor Rating
  • 51 Reviews
  • 14,411 Students
  • 1 Course

Hey, I am Prathamesh! Over last 5 years I have worked on several technologies. To quickly ramp up on new technologies, all you need is structured and to the point learning content. But its hard to find learning material on latest technologies that can be completed over the weekend and quickly applied in real project. This motivated me to start creating short and easy to understand courses on cutting edge technologies.

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