Natural Language Processing (NLP) with BERT

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Cost

Free
Provider

Udemy
Certificate

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Language

English
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2.0

21,300 Ratings

This course provides an introduction to Natural Language Processing (NLP) with BERT. Learn how to put the BERT model into action, analyze sentiment, and use Google Colab to code in Python. Gain the skills to apply NLP to real-world problems and become an expert in the field.

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [June 30th, 2023]

This course provides an introduction to Natural Language Processing (NLP) and how to put the BERT model into action. Participants will learn how to use Google Colab to code in Python and how to analyze sentiment. By the end of the course, participants will have a better understanding of NLP and how to use BERT to analyze sentiment.

[Applications]
After completing this course, participants will be able to apply the knowledge they have gained to their own projects. They will be able to use the BERT model to analyze sentiment and use Google Colab to code in Python. Additionally, they will be able to use the techniques learned to create their own Natural Language Processing (NLP) projects.

[Career Path]
Natural Language Processing (NLP) with BERT is a great career path for learners interested in the field of Artificial Intelligence (AI). This job position involves using the BERT model to process natural language and analyze sentiment. It also requires the use of Google Colab to code in Python.

The development trend of this job position is to use the BERT model to process more complex natural language tasks, such as question answering, summarization, and machine translation. Additionally, the use of Google Colab to code in Python is becoming increasingly popular, as it allows for faster development and deployment of AI models. As the field of AI continues to grow, the demand for NLP with BERT professionals will also increase.

[Education Path]
The recommended educational path for learners interested in Natural Language Processing (NLP) with BERT is a Bachelor's degree in Computer Science or a related field. This degree will provide learners with a comprehensive understanding of the fundamentals of computer science, including programming languages, algorithms, data structures, operating systems, and computer architecture. Additionally, learners will gain an understanding of the principles of artificial intelligence, machine learning, and natural language processing.

The development trend of this degree is to focus on the application of NLP with BERT. This includes learning how to use the BERT model to analyze sentiment, how to use Google Colab to code in Python, and how to apply the model to real-world problems. Additionally, learners will gain an understanding of the ethical implications of using NLP with BERT, as well as the potential for misuse. As the technology continues to evolve, learners will need to stay up-to-date on the latest developments in the field.

Course Syllabus

Data Preprocessing

Building the BERT model

Training the BERT model

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