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Natural Language Processing Courses

117 Courses

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California Institute of Technology Udemy

Complete Facebook Messenger Chatbot Course

Discover the power of artificial intelligence with the Complete Facebook Messenger Chatbot Course, exclusively on Udemy. Learn to utilize ChatterOn, an advanced tool to program your chatbot for engaging conversations and effective query responses. This comprehensive course guides you through the entire process of creating a proficient chatbot speci.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

NLP Practitioner & NLP Master Practitioner Cert (ACCREDITED)

Unlock the power of your mind with the NLP Practitioner & NLP Master Practitioner Cert (ACCREDITED), proudly presented on Udemy. This unique offering is the only course of its kind available on the platform, combining two comprehensive courses into one - covering both NLP Practitioner and NLP Master Practitioner certifications. Whether you're a.
provider Udemy
sessions On-Demand
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California Institute of Technology Coursera

Fine Tune BERT for Text Classification with TensorFlow

Embark on a journey to master text classification with the cutting-edge Bidirectional Transformers for Language Understanding (BERT) leveraging TensorFlow's powerful capabilities. Dive into this comprehensive 2.5-hour guided project, designed to equip you with the skills to preprocess and tokenize data specifically for BERT classification. Gain han.
provider Coursera
sessions On-Demand
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California Institute of Technology DataCamp

Recurrent Neural Networks (RNNs) for Language Modeling with Keras

Unlock the power of text analytics with our specialized course on Recurrent Neural Networks (RNNs) for Language Modeling using Keras. This comprehensive course is designed to guide you through the fascinating world of RNNs, enabling you to harness machine learning for text classification, sentiment analysis, sentence generation, and even cross-lang.
provider DataCamp
sessions On-Demand
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California Institute of Technology Udemy

Natural Language Processing with Deep Learning in Python

Embark on a comprehensive journey through the world of Natural Language Processing (NLP) with this detailed course on Deep Learning in Python. Discover the intricacies of word2vec, GloVe, and word embeddings, unraveling their applications in groundbreaking NLP advances. The course delves deep into sentiment analysis, teaching you how to leverage re.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Hands On Natural Language Processing (NLP) using Python

Embark on a journey to master Natural Language Processing (NLP) and Text Mining with our comprehensive course available on Udemy. Perfect for those passionate about Python, this course is designed to equip you with the skills to create sophisticated text classifiers, efficient article summarizers, and explore various facets of Sentiment Analysis. W.
provider Udemy
sessions On-Demand
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California Institute of Technology Pluralsight

Getting Started with NLP Deep Learning Using PyTorch and fastai

Embark on your Deep Learning journey in the field of Natural Language Processing (NLP) with our comprehensive course using fastai and PyTorch. This course is designed for those looking to harness the power of NLP Deep Learning with state-of-the-art results in text classification. Utilizing the fastai library atop the robust PyTorch Deep Learning Fr.
provider Pluralsight
sessions On-Demand
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California Institute of Technology Udemy

Modern Natural Language Processing in Python

Discover the power of Modern Natural Language Processing (NLP) with our comprehensive course on Udemy, tailored specifically for Python enthusiasts. This course is expertly designed to guide you through tackling Sequence-to-Sequence (Seq2Seq) and Classification tasks by leveraging the strengths of Transformers and Convolutional Neural Networks (CNN.
provider Udemy
sessions On-Demand
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California Institute of Technology Pluralsight

Natural Language Processing with PyTorch

Delve into the fascinating world of Machine Learning and Artificial Intelligence with our comprehensive course on Natural Language Processing (NLP) using PyTorch, presented by Pluralsight. This immersive course is meticulously designed to teach you cutting-edge neural network frameworks and architectures, including recurrent neural networks (RNNs),.
provider Pluralsight
sessions On-Demand
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California Institute of Technology LinkedIn Learning

Hands-On Natural Language Processing

Explore the fascinating world of Natural Language Processing with our interactive course on LinkedIn Learning. Dive deep into the techniques of understanding and interpreting text data to uncover valuable insights. Whether you're looking to master sentiment analysis or enhance your abilities in handling complex data, this course, led by esteemed ex.
provider LinkedIn Learning
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!