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What do you understand by multiple assignments?

Multiple assignments mean assigning multiple or same values to multiple variables at the same. In python, you can assign values to multiple variables…

Data Science · Pythons

1 Answer · 1.7K Views · Answered ✓

Asked by: Sherly Montejano · 6 years ago

Mutable and immutable type?

Values that can be changed are known as mutable values and which we cannot change are called immutable. In python some values we can modify but some…

Data Science

1 Answer · 1.4K Views · Answered ✓

Asked by: seema Deshpande · 6 years ago

How to use sapply() in R? Explain with an example

Sapply() takes list as an input but returns an output as vectors.Let us explain with an example x

Data Science · R

1 Answer · 1.2K Views · Answered ✓

Asked by: Lucas BROWN · 6 years ago

Explore the various matrix operations using R.

A matrix is a representation of an array of numbers in n dimensional format that are again represented as rows and columns. From a matrix, we can…

Data Science · R

1 Answer · 1.6K Views · Answered ✓

Asked by: Gayatri Jaiteley · 6 years ago

A user types a sentence "Zoni I want to find a pencil, a eraser and a sharpener" an finds no output but 'European authorities fined Google a record $5.1 billion on Wednesday for abusing its power in the mobile phone market and ordered the company to alter its practices' and gets the following output. Why did Spacy fail to recognize any entities in the first sentence?

Word2Vec uses a neural network to represent words whose hidden network encodes the representation into vectors. On the other hand, FastText breaks…

Data Science · Natural Language Processing

1 Answer · 1.7K Views · Answered ✓

Asked by: Emma Cornish · 6 years ago

What is the LSTM-CRF model and how to implement it in Python?

LSTM-CRF model is a hybrid based approach where it uses both LSTM and CRF algorithms to recognize the entities. CRF can capture the backward and the…

Data Science · Natural Language Processing

1 Answer · 2.6K Views · Answered ✓

Asked by: Fujiwara Ban · 6 years ago

How is NER helpful in automatic summarization system?

An automatic summarizer gives out the summarized matter of the input text after building the model considering the most important content present in…

Data Science · Natural Language Processing

1 Answer · 2.0K Views · Answered ✓

Asked by: Felicity Davies · 6 years ago

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