Lo que aprenderás

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

Requisitos

Basic knowledge of machine learning and NLP is good to have

Descripción

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.

¿Para quién es este curso?

Anyone interested in machine learning and NLP

Debes tener en cuenta que los cupones duran maximo 4 dias o hasta agotar 1000 inscripciones,pero puede vencer en cualquier momento. Obten el curso con cupon haciendo clic en el siguiente boton:

(Cupón válido para las primeras 1000 inscripciones): FREEDOM

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