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Natural Language Processing Courses

117 Courses

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California Institute of Technology Independent

ILSA Course

In this self-paced introductory course, discover the essentials of live subtitling and speech-to-text interpreting through the innovative respeaking method, using speech recognition software to create live subtitles. Immerse yourself in a comprehensive learning experience with relevant readings, video lectures, case studies, interviews with seasone.
provider Independent
sessions On-Demand
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California Institute of Technology Stanford University

Stanford Seminar - Natural Language Processing for Conversational Interfaces

Conversational applications often fall short of expectations despite the significant advancements in Natural Language Understanding (NLU) and the burgeoning market for voice-based technologies. This Stanford Seminar delves into the complexities of designing high-performing conversational interfaces in real-world settings, acknowledging the challeng.
provider YouTube
sessions On-Demand
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California Institute of Technology Stanford University

Stanford Seminar - Training Classifiers with Natural Language Explanations

Discover an innovative approach to training classifiers at the Stanford Seminar on "Training Classifiers with Natural Language Explanations." Dive into the world of BabbleLabble, an extraordinary framework designed to revolutionize classifier training by utilizing natural language explanations from annotators. This technique allows for the conversi.
provider YouTube
sessions On-Demand
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California Institute of Technology Université de Montréal

Post Graduate Certificate in Natural Language Processing

Embark on a transformative journey with the Post Graduate Certificate in Natural Language Processing offered by the Université de Montréal, available on Coursera MasterTrack. This comprehensive program is designed for college graduates and working professionals eager to delve into or specialize in the dynamic field of natural language processing (N.
provider Coursera  MasterTrack
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California Institute of Technology Stanford University

Stanford Seminar - Dialog Markets

Explore the burgeoning impact of machine learning (ML) across various data-rich and goal-oriented domains at the Stanford Seminar on Dialog Markets. This insightful session delves into whether ML can contribute to areas necessitating deep thought—be it personal goal reflection or societal challenges like improving aid for the underprivileged. The s.
provider YouTube
sessions On-Demand
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California Institute of Technology Codecademy

Learn How to Get Started with Natural Language Processing

Embark on a journey to master Natural Language Processing (NLP) with Codecademy's Skill Path. Discover the power behind the technology that powers your virtual assistant's recommendations and even the autocorrect on your phone. NLP stands at the fascinating intersection where computers meet human language. This is your chance not just to use NLP to.
provider Codecademy
sessions On-Demand
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California Institute of Technology Coursera

Natural Language Processing on Google Cloud

Embark on a journey through the realm of Natural Language Processing (NLP) with our comprehensive course on Google Cloud. This educational adventure is meticulously designed to introduce the plethora of products and solutions available on Google Cloud to address various NLP challenges. Delve into the fascinating world of NLP and discover the cuttin.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Natural Language Processing in TensorFlow

Embark on a journey with Coursera's "Natural Language Processing in TensorFlow" course, a crucial part of the deeplearning.ai TensorFlow Specialization designed for software developers eager to build scalable AI-powered algorithms. This comprehensive course dives deep into the best practices for utilizing TensorFlow, a prominent open-source framewo.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Natural Language Processing with Classification and Vector Spaces

Embark on an enlightening journey through the domain of Natural Language Processing (NLP) with the first course of the NLP Specialization. This comprehensive course is tailored to introduce you to the fascinating world of NLP through hands-on applications and essential techniques. You will learn how to: Analyze sentiments from tweets utilizing adv.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Machine Translation

Welcome to the CLICS-Machine Translation MOOC, your gateway to mastering the fascinating world of machine translation. Immerse yourself in this comprehensive online course, which sheds light on the fundamental concepts underpinning machine translation - the cutting-edge technology enabling seamless translation between various natural languages. Thr.
provider Coursera
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!