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Natural Language Processing with Probabilistic Models

Natural Language Processing Specialization, offered by deeplearning.ai

(*)(*)(*)(*)(*)4.7
1.7K reviews
duration

24 h

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Natural Language Processing with Attention Models

Natural Language Processing Specialization, offered by deeplearning.ai

(*)(*)(*)(*)(*)6
1K reviews
duration

24 h

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Natural Language Processing with Sequence Models

Learn Natural Language Processing with Sequence Models from deeplearning.ai.

(*)(*)(*)(*)(*)4.5
1.1K reviews
duration

19 h

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Introduction to NLP

Fundamentals of Natural Language Processing

(*)(*)(*)(*)( )3.2
130 reviews
duration

1 h 31 m

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duration

1 h 37 m

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duration

2 h 25 m

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Understanding Embeddings for Natural Language Processing

Gain a knowledge of how number representations change language! In this online course, you'll learn about text embeddings, including tokenization, historical models, recent methodologies, and practical applications.

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Develop natural language processing solutions with Azure AI Services

Natural language processing (NLP) solutions rely on language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to generate language models for your applications.

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NLP (Neuro-Linguistic Programming)

NLP (Neuro-Linguistic Programming) is the Science of how we Program our brain and how we can Re-Program it! 

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duration

5 h 37 m

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NLP with Python for Machine Learning Essential Training

A quick summary of basic natural language processing (NLP) concepts

7.4K reviews
duration

4 h 14 m

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Deep Learning Foundations: Natural Language Processing with TensorFlow

Learn foundational deep learning techniques to classify, predict, and generate text using different neural networks.

97 reviews
duration

1 h 47 m

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Natural Language Processing

Build code that powers tools from virtual assistants to autocorrect.

duration

10 h

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Performing Natural Language Processing with R

This course will teach you about NLP ideas, how to use the tm package, how to use corpora, how to convert text to structured data, advanced search techniques, metadata, and how to use quanteda and tidytext.




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