Natural Language Processing Courses

111 Courses

Natural Language Processing:Concept along with Case Study

Join our complimentary course on Udemy titled "Natural Language Processing: Concept along with Case Study." This in-depth course covers vital areas such as Natural Language Processing (NLP), text processing, machine learning, and creating spam filters, all through the versatile programming language, Python. Ideal for enthusiasts looking to dive int.
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provider Udemy
pricing Free Online Course
duration 1-2 hours
sessions On-Demand

Building a unique NLP project: 1984 book vs 1984 album

Welcome to our guided project titled "Building a unique NLP project: 1984 book vs 1984 album". Perfect for enthusiasts eager to dive into innovative and engaging Natural Language Processing (NLP) adventures, this project offers an exciting exploration of NLP through a creative lens. Drawing inspiration from the popular Versus battles, we'll embark.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Introduction to Natural Language Processing (NLP)

Title: Introduction to Natural Language Processing (NLP) Description: Delve deep into the fascinating world of text data analysis with our comprehensive course on Natural Language Processing (NLP). Brought to you by Udemy, this training is designed to equip you with the skills needed to unlock insights and patterns hidden within text data. Ideal fo.
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provider Udemy
pricing Paid Course
duration 3 hours 1 minute
sessions On-Demand

Natural Language Processing with PyCaret

Title: Natural Language Processing with PyCaret Description: Dive deep into the world of Natural Language Processing (NLP) with PyCaret in this comprehensive project. Discover how to effortlessly set up PyCaret for your NLP tasks, enabling you to compare and develop models with unparalleled ease. Furthermore, learn the ins and outs of visualizing b.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Interactive Word Embeddings using Word2Vec and Plotly

Embark on a fascinating 2-hour journey into the world of text preprocessing with our latest project, "Interactive Word Embeddings using Word2Vec and Plotly". Delve into the art of natural language processing (NLP) as you navigate through a dataset full of intriguing recipes. Master the skill of generating dynamic word embeddings for various ingredi.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand

Creating a Wordcloud using NLP and TF-IDF in Python

Unlock the power of text analysis and visualization by joining our project-based course on Coursera, where you'll learn to craft a professional wordcloud using Python. This course is designed to guide you through creating a visually appealing wordcloud from a collection of Christmas recipes. By leveraging an open-source dataset, you'll dive into th.
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provider Coursera
pricing Paid Course
duration 2 hours
sessions On-Demand

Extracting Meaning from Natural Language with the Language Understanding Service (LUIS) on Microsoft Azure

Join our insightful course on Extracting Meaning from Natural Language with the Language Understanding Service (LUIS) on Microsoft Azure, provided by Pluralsight. Dive into the world of natural language processing where you will learn to empower apps and bots with the capability to understand and act on human language. Utilizing LUIS, a cutting-edg.
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provider Pluralsight
pricing Free Trial Available
sessions On-Demand

Natural Language Processing Real World Use-cases in Python

Discover the power of Natural Language Processing (NLP) through practical applications in our comprehensive course, "Natural Language Processing Real-World Use-cases in Python". Offered by Udemy, this course dives deep into how you can leverage tools like NLTK, scikit-learn, and sentiment analysis techniques to address and solve real-world NLP chal.
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provider Udemy
pricing Paid Course
duration 10 hours 23 minutes
sessions On-Demand

Deploy an NLP Text Generator: Bart Simpson Chalkboard Gag

Welcome to the "Deploy an NLP Text Generator: Bart Simpson Chalkboard Gag" guided project, offered through Coursera. This unique project focuses on the use of natural language processing (NLP) techniques for text generation, a pioneering field exemplified by features like Gmail's sentence autocomplete. Specifically, participants will have the oppor.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Natural Language Processing, Deploy on Cloud(AWS) [Hindi]

Unlock the potential of Natural Language Processing (NLP) with a focus on deploying on AWS Cloud, tailored specifically for Hindi speaking students. This comprehensive course, available on Udemy, dives into the fundamentals and advanced concepts of NLP, Machine Learning, creating spam filters, and conducting sentiment analysis using Python. Whether.
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provider Udemy
pricing Paid Course
duration 8 hours
sessions On-Demand

Who is a neural network developer?

An NLP engineer is a specialist who has competences in the fields of applied mathematics, linguistics and software development.

Introduction to NLP

As a technical specialist, an NLP engineer is responsible for empowering businesses with natural language processing. He implements knowledge-intensive rules and algorithms and applies machine learning (ML) tools.

In addition, an NLP engineer solves tasks of analysing and extracting information from texts, including ML methods. However, his tasks may not be limited to machine learning, as some of them require advanced knowledge of mathematics, linguistics and algorithm theory.

And of nlp courses, an NLP engineer should be a good programmer. In order to analyse and extract data from texts, you need not only to answer a lot of engineering challenges, but also to be able to prepare such data correctly.

In 2017, there was a revolution in the field of artificial intelligence and machine learning. The neural network architecture "transformer" appeared. It allowed to achieve incredible results in solving tasks of automated text data processing.

NLP-engineers got tools that in a short period of time significantly improved the quality of analysing unstructured information.

Learning Outcomes

Profile skills, without which the specialist will not be able to fulfil the assigned tasks:

Personal qualities allow you to perform work nlp online courses tasks efficiently and move up the career ladder.

Career Pathways and Enrollment Details

NLP jobs in most cases require a major in computer science, computational maths, physics or related fields. Sometimes at least a Master's degree or a specialisation.

But there are other options: for example, nlp deep learning courses. For this you need to fill in an application form on the website and you are already a student. Don't waste time, join machine learning nlp courses now.

The pool of work in the natural language based neural network training profession depends directly on the specific business objective. For example, a large marketplace wants a query processing system to understand human-entered text and show the right product. In this case, an NLP engineer will proceed after neuro linguistic programming courses as follows:

A profession in machine learning and natural language processing involves a combination of three components. The specialist should have a deep knowledge of mathematics and statistics, be able to program at a high level, and have an understanding of linguistics. The NLP Engineer profession is quite new and not all employers separate it from a Machine Learning Engineer (ML Engineer), although the specifics of work and knowledge of these specialists can be very different!