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How to Create a Vocabulary for NLP Tasks in Python

KDnuggets

This post will walkthrough a Python implementation of a vocabulary class for storing processed text data and related metadata in a manner useful for subsequently performing NLP tasks.

Python 283
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Simplify data prep for generative AI with Amazon SageMaker Data Wrangler

AWS Machine Learning Blog

While this data holds valuable insights, its unstructured nature makes it difficult for AI algorithms to interpret and learn from it. According to a 2019 survey by Deloitte , only 18% of businesses reported being able to take advantage of unstructured data. This will land on a data flow page. And select Python (PySpark).

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How to Speed up Pandas by 4x with one line of code

KDnuggets

While Pandas is the library for data processing in Python, it isn't really built for speed. Learn more about the new library, Modin, developed to distribute Pandas' computation to speedup your data prep.

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5 Advanced Features of Pandas and How to Use Them

KDnuggets

The pandas library offers core functionality when preparing your data using Python. But, many don't go beyond the basics, so learn about these lesser-known advanced methods that will make handling your data easier and cleaner.

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KDnuggets™ News 19:n28, Jul 31: Top 13 Skills To Become a Rockstar Data Scientist; Best Podcasts on AI, Analytics, Data Science

KDnuggets

Learn the essential skills needed to become a Data Science rockstar; Understand CNNs with Python + Tensorflow + Keras tutorial; Discover the best podcasts about AI, Analytics, Data Science; and find out where you can get the best Certificates in the field.

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5 Great New Features in Latest Scikit-learn Release

KDnuggets

From not sweating missing values, to determining feature importance for any estimator, to support for stacking, and a new plotting API, here are 5 new features of the latest release of Scikit-learn which deserve your attention.

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Build a classification pipeline with Amazon Comprehend custom classification (Part I)

AWS Machine Learning Blog

Data locked away in text, audio, social media, and other unstructured sources can be a competitive advantage for firms that figure out how to use it“ Only 18% of organizations in a 2019 survey by Deloitte reported being able to take advantage of unstructured data. The majority of data, between 80% and 90%, is unstructured data.

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