課程資料
報名日期
全年招生
課程級別
學習模式
修業期
0 小時 51 分鐘
教學語言
英語
授課導師
Prathamesh Dahale
評分
1次瀏覽
課程簡介
Augment your Dataset and Outperform
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.
課程章節
- 7 個章節
- 12 堂課
- 第 1 章 Introduction
- 第 2 章 Word embeddings
- 第 3 章 BERT
- 第 4 章 Back Translation
- 第 5 章 T5
- 第 6 章 Ensemble Approach
- 第 7 章 Comparison
課程內容
- 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
評價
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OOluwole Fagbohun
Short and sweet. Well laid out data augmentation concepts which can be immediately applied to ones projects. Glad I took the course.
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LLakshmiKishore
Superb ! Simple and Straight to the point. Thanks !
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UUtkrist Raj
As a beginner in NLP the concepts were very clearly explained, But the implementation coding part was a not explained that good.
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AAnanga Mohan Roy
More video is required. I am not clear about the topic.
