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Natural Language Processing Courses

117 Courses

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California Institute of Technology Independent

Speaking Of: Machine Translation and Natural Language Processing (NLP)

Explore the fascinating world of machine interaction with human language through our comprehensive courses. Dive into how neural networks and natural language processing (NLP) work using AWS services. Our curriculum includes topics such as automatic speech recognition, achieving natural and fluent language translation, and uncovering insights and r.
provider Independent
sessions On-Demand
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California Institute of Technology edX

Text Analytics 2: Visualizing Natural Language Processing

Discover the power of making complex data understandable with "Visualizing Natural Language Processing," the essential second course in the "Text Analytics with Python" professional certificate series. However, it's perfectly tailored to be taken as a standalone course as well. Dive into the world of natural language processing (NLP) and learn how.
provider edX
sessions On-Demand
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California Institute of Technology edX

Text Analytics 1: Introduction to Natural Language Processing

Introducing Natural Language Processing, the initial segment of the Text Analytics with Python professional certificate series, offers a deep dive into the foundational elements of natural language processing (NLP) and computational linguistics, accessible either as part of the series or a standalone course. Designed to marry the principles of data.
provider edX
sessions On-Demand
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California Institute of Technology Coursera

Sequence Models

Embark on an educational journey with the fifth course of the Deep Learning Specialization offered by Coursera, focusing on Sequence Models. This comprehensive course is designed to acquaint you with the fascinating world of sequence models and their myriad applications, including speech recognition, music synthesis, chatbots, machine translation,.
provider Coursera
sessions On-Demand
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California Institute of Technology ETH Zurich

Deep Learning for Natural Language Processing

Immerse yourself in the cutting edge of artificial intelligence with the "Deep Learning for Natural Language Processing" course, a comprehensive program designed to delve into the complexities of processing natural language inputs and outputs, a cornerstone of Artificial General Intelligence. Discover the limitations of traditional symbolic AI tech.
provider Independent
sessions On-Demand
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California Institute of Technology University of Toronto

Natural Language Processing: Foundations

Explore the fascinating world of Natural Language Processing (NLP) in a comprehensive four-week course offered by the University of Toronto, available on edX. Dive deep into the realm of computer science that powers spell correction, social media curation, and translation services we use daily. This course demystifies the complex processes behind N.
provider edX
sessions On-Demand
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California Institute of Technology FutureLearn

Applied Artificial Intelligence: Natural Language Processing

Delve into the transformative world of Applied Artificial Intelligence focusing specifically on Natural Language Processing (NLP) with this comprehensive course offered through FutureLearn. This course is a part of the Advanced and Applied AI on Microsoft Azure ExpertTrack, designed to equip you with essential AI and machine learning skills while p.
provider FutureLearn
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!