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Natural Language Processing Courses

117 Courses

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California Institute of Technology Coursera

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.
provider Coursera
sessions On-Demand
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California Institute of Technology Pluralsight

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.
provider Pluralsight
sessions On-Demand
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California Institute of Technology Udemy

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.
provider Udemy
sessions On-Demand
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California Institute of Technology Coursera

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.
provider Coursera
sessions On-Demand
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California Institute of Technology Udemy

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.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Natural Language Processing: NLP With Transformers in Python

Embark on a journey into the future of text analysis with "Natural Language Processing: NLP With Transformers in Python," offered exclusively on Udemy. This comprehensive course is meticulously designed to introduce learners to cutting-edge techniques in natural language processing (NLP) utilizing transformer models. Whether your interest lies in s.
provider Udemy
sessions On-Demand
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California Institute of Technology LinkedIn Learning

NLP with Python for Machine Learning Essential Training

Unlock the power of language with NLP with Python for Machine Learning Essential Training, offered through LinkedIn Learning. This detailed course dives deep into the realm of Natural Language Processing (NLP), guiding you through the intricacies of advanced data cleaning, vectorization techniques, and the construction of machine learning classifie.
provider LinkedIn Learning
sessions On-Demand
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California Institute of Technology LinkedIn Learning

Text Analytics and Predictions with Python Essential Training

Enhance your skills in text analytics and predictive modeling with our comprehensive course, brought to you by LinkedIn Learning. Dive deep into the world of Python to master techniques for analyzing text data, and apply machine learning along with natural language processing (NLP) to extract meaningful insights. Whether you're interested in sentim.
provider LinkedIn Learning
sessions On-Demand
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California Institute of Technology Coursera

Analyze Text Data with Yellowbrick

Embark on a journey to master the art of analyzing text data with the innovative project-based course, "Analyze Text Data with Yellowbrick," now available on Coursera. Discover the importance of understanding document similarity through various distance metrics like Euclidean, Hamming, Cosine, and Manhattan. Learn their applications and limitations.
provider Coursera
sessions On-Demand
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California Institute of Technology Udemy

NLP - Natural Language Processing with Python

Discover the power of Natural Language Processing (NLP) through our comprehensive course on Udemy, focusing on Python. This course covers a wide range of tools and technologies, including Machine Learning, Spacy, NLTK, SciKit-Learn, and Deep Learning. Whether you're keen on understanding the basics or diving deep into the complexities of NLP, this.
provider Udemy
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!