Implement Natural Language Processing for Word Embedding

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Axel Sirota

1:33:45

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1. Course Overview

1. Course Overview.mp4

01:39

2. Why Process Text

1. Why Should We Process Text.mp4

02:42

2. Demo - Introducing Globomantics Case Study.mp4

01:02

3. Getting the Best out of This Course.mp4

02:38

4. Version Check.mp4

02:14

5. Outline of the Course.mp4

01:29

3. Training Word Representations

1. How to Represent Words.mp4

03:03

2. First Embedding - One Hot Encoding.mp4

02:41

3. Demo - Using OHE.mp4

10:21

4. Demo - Analyzing Sentiment with OHE.mp4

07:06

5. Training Embeddings with Networks - CBOW and Skip-gram.mp4

05:35

6. Demo - Training a CBOW Embedding.mp4

13:07

7. Demo - Reanalyze Sentiment with a Network-based Embedding.mp4

07:24

8. What Comes Next.mp4

01:58

4. Fine-tuning Word Representations

1. Why Would We Fine Tune Existing Models.mp4

02:08

2. Demo - Fine Tuning Glove and FastText.mp4

11:05

3. Demo - Making Word Clusters.mp4

06:41

4. Demo - Debiase Word Embeddings.mp4

08:13

5. Key Takeaways and Tips.mp4

01:00

6. Where to Go Next.mp4

01:39

Description

This course will teach you how to use word embeddings to use deep learning for NLP.

What You'll Learn?

Natural language processing (NLP) is a set of tools and techniques that enables us to unlock the power of analyzing text. In this course, Implement Natural Language Processing for Word Embedding, you’ll learn how to use word embeddings to use neural networks for NLP. First, you’ll explore what word embeddings are and the most basic embedding: one hot encoding. Next, you’ll discover how to use word embeddings to do sentiment analysis. Finally, you’ll learn how to fine-tune existing word embeddings to improve your models as well as debase our embeddings for fairness. When you’re finished with this course, you’ll have the skills and knowledge of natural language processing needed to leverage word embeddings to create amazing NLP solutions with deep learning.

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Natural Language Processing

Axel Sirota

Instructor's Courses

Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O'Reilly Media.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.