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Natural Language Processing with Machine Learning

Gain insights into processing text data, creating word embeddings, and using LSTMs for semantic analysis and machine translation. Explore industry-relevant NLP techniques with Python and TensorFlow.

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46 Lessons

9h

Certificate of Completion

Gain insights into processing text data, creating word embeddings, and using LSTMs for semantic analysis and machine translation. Explore industry-relevant NLP techniques with Python and TensorFlow.
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This course includes

40 Playgrounds
33 Challenges
Course Overview
Course Content
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Course Overview

In this course you'll learn techniques for processing text data, creating word embeddings, and using long short-term memory networks (LSTM) for tasks such as semantic analysis and machine translation. After completing this course, you will be able to solve the important day-to-day NLP problems faced in industry, which is incredibly useful given the prevalence of text data. The code for this course is built around the TensorFlow framework, one of the premier frameworks for industry machine learning, and the...Show More
In this course you'll learn techniques for processing text data, creating word embeddings, and using long short-term memory networks (LSTM) for tasks such as semantic analysis and machine translation. After completing this course, you will be able to solve...Show More

Course Content

1.

What you'll learn from this course

1 Lessons

Get familiar with NLP using ML for text processing and building LSTM models.

2.

Word Embeddings

10 Lessons

Grasp the fundamentals of word embeddings, their structures, and methods for effective NLP applications.

3.

Language Model

11 Lessons

Examine LSTM-based language modeling, sequence padding, RNNs, dropout, multilayer architectures, loss calculation, and tensor indexing.

4.

Text Classification

9 Lessons

Enhance your skills in BiLSTM text classification, embeddings, and sentiment analysis using TensorFlow.

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