Predictive Analytics with TensorFlow 6.2: Transformers and Estimators

Predictive Analytics with TensorFlow 6.2: Transformers and Estimators

Assessment

Interactive Video

Computers

9th - 12th Grade

Hard

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The video tutorial covers NLP analytics pipelines, focusing on transformers, which are functions that transform datasets. It distinguishes between standard and estimator transformers, providing examples of each. The tutorial also delves into tokenization techniques, including regex tokenizers and stop words removal, and explains the concept of n-grams, demonstrating their application in text processing.

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2 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of removing stop words before applying algorithms?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe how engrams are formed according to the text.

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