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Natural Language Processing Courses

104 Courses

California Institute of Technology OpenClassrooms

Exploitez des données textuelles

Bienvenue dans ce cours de traitement du langage naturel ! L’objectif de ce cours est de comprendre les méthodes qui permettent de transformer le texte en features exploitables par des algorithmes de machine learning classiques, et les architectures et modèles qui correspondent le mieux à ce type de données. En l’occurence un ensemble de documen.
provider OpenClassrooms
pricing Free Online Course
duration 12 hours
sessions On-Demand
California Institute of Technology Udemy

Dialogflow Completo-Domine a Criação de Assistentes Virtuais

Dialogflow Completo - Domine a Criação de Assistentes Virtuais | Udemy Domine a criação de assistentes virtuais com o curso completo de Dialogflow. Aprenda a desenvolver Chatbots baseados em tecnologias avançadas do Google, incluindo Machine Learning, Processamento de Linguagem Natural (NLP), e Actions on Google. Explore o uso de Firebase e Nod.
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provider Udemy
pricing Paid Course
duration 12 hours
sessions On-Demand
California Institute of Technology Coursera

Creando un modelo de lenguaje natural con Spacy

Creando un modelo de lenguaje natural con Spacy - Coursera Al completar este proyecto de 1 hora de duración, entenderás y podrás desarrollar tus propios modelos de lenguaje natural con Python, usando una de las librerías más populares para ello, Spacy, a partir de un conjunto de datos definidos, y entender las ventajas y qué otras acciones po.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

Mineração de Emoção em Textos com Python e NLTK

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provider Udemy
pricing Paid Course
duration 6 hours
sessions On-Demand
California Institute of Technology Coursera

Curso Completo de Power BI Service

Curso Completo de Power BI Service Este curso te ofrece una formación práctica y efectiva para dominar la herramienta de Power BI Service. Aprenderás a manejar sus diversas funcionalidades, desde la publicación de informes hasta la creación de alarmas y quick insights. También experimentarás con las funciones de preguntas en lenguaje natural.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Vanderbilt University

Natural Language Processing and Capstone Assignment

Natural Language Processing and Capstone Assignment | Vanderbilt University | Coursera Welcome to Natural Language Processing and Capstone Assignment. This course dives into how technical and business techniques can be harnessed to deliver business insights, competitive intelligence, and consumer sentiment. Hosted by Vanderbilt University on Cou.
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provider Coursera
pricing Free Online Course (Audit)
duration 4-5 hours
sessions On-Demand
California Institute of Technology Udacity

Deep Learning Topics with Computer Vision and NLP

Deep Learning Topics with Computer Vision and NLP In this course, you will learn how to train, finetune, and deploy deep learning models using Amazon SageMaker. You'll begin by understanding what deep learning is, its applications, and the tools used by deep learning engineers. Next, we will explore artificial neurons and neural networks and the.
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provider Udacity
pricing Paid Course
duration 4 weeks, 3-4 hours a week
sessions On-Demand
California Institute of Technology Udacity  Nanodegree

AWS Machine Learning Engineer Nanodegree

AWS Machine Learning Engineer Nanodegree The AWS Machine Learning Engineer (MLE) Nanodegree program aims to provide software developers and data scientists with the essential data science and machine learning expertise needed to create and deploy machine learning models in production using Amazon SageMaker. The curriculum emphasizes the latest b.
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provider Udacity  Nanodegree
pricing Paid Course
duration 6 months
California Institute of Technology

Mastering Natural Language Processing (NLP) with Deep Learning

Mastering Natural Language Processing (NLP) with Deep Learning Understanding the complex world of natural language processing can be a challenging but essential task in this rapidly growing industry. In this course, Mastering Natural Language Processing (NLP) with Deep Learning, you’ll gain the ability to analyze text data using advanced deep l.
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California Institute of Technology Coursera

Generative AI: Boost Your Cybersecurity Career

This short course provides cybersecurity professionals and enthusiasts with the latest Generative AI tools to address complex cybersecurity challenges. The course focuses on combating the exploitation of undetected vulnerabilities for which organizations increasingly turn to Artificial Intelligence (AI) and Machine Learning (ML). Generative A.
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provider Coursera
pricing Free Online Course (Audit)
duration 10 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!