116 Natural Language Processing (NLP) courses

In this course, you will learn how to perform data cleaning and data preparation with KNIME and without coding. You should be familiar with KNIME as no basics are covered in this course. Basic knowledge of machine learning is certainly helpful for the later lectures in this course.

Description Linguistics Diploma  The field of linguistics analyses language scientifically. It includes studying all aspects of language, methods of studying them, and models of representing the grammar of languages. The field's significant traditionally studied areas are phonology, phonetics, morphology, semantics, syntax, and pragmatics. Every area deals with a specific aspect of language found in the linguistic systems of humans, like sounds or gestures, morphemes, words, phrases, sentences, meanings of words, and language use. The field of linguistics stands with language philosophy, rhetoric and stylistics, semiotics, translation studies, and lexicography. The Linguistics Diploma course offered by Elearncollege will ensure that you acquire analytical skills of advanced level, in-depth knowledge of linguistics, and let you experience what it is like to be an independent linguistic researcher. The Linguistics Diploma course starts with a module on Language Description. This introductory module will get you used to linguistics basics, which are the building blocks of language studies and linguistic analysis, like grammar, phonology, and morphology. The Linguistics Diploma course will then take you to data, theory and method modules, which will deal with topics like hypothesis testing, data collection, the importance of linguistic theories, research ethics, and reference cited in academic writings. The Linguistics Diploma course offered by Elearncollege covers all important sub-fields like second language acquisition, sociolinguistics, history of English, and discourse analysis. Within linguistics, these different phenomena are analyzed in diverse and innovative ways, taking different perspectives. Theoretical linguistics, which is descriptive mainly, deals with descriptions of models for language systems, the various parts within these systems, and how they combine to make meaning. Psycholinguistics is concerned with how we process language and produce utterances when we use language. Computational linguistics deals with computing and analyzing language phenomena like parsing and processing natural languages. Neurolinguistics analyses the connection between our brain and language by analyzing the signals sent around the brain when there is a linguistic stimulus. What you will learn   1: A brief introduction to linguistics and its history  2: Structural linguistics  3: Phonetics and phonology  4: Morphology and syntax  5: Generative grammar  6: Semantics  7: Pragmatics  8: Variation in language  9: Multilingualism  10: Language change  Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Let's learn the basic concepts for developing chatbots with machine learning models. This compact course will help you learn to use the power of Python to evaluate your chatbot datasets based on conversational notes, online resources, and websites. Garner hands-on practice in text generation with Python for chatbot development.

Looking to expand your skills in the exciting world of AI and React development? In this compact course, you will learn to build a cutting-edge image generator inspired by OpenAI's revolutionary DALL-E technology and create a unique project live in production to upskill your knowledge for a future career in AI with ChatGPT and DALL-E.

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This extensive course for beginners provides the basics of chatbots with machine learning, deep learning, AWS, and its applications, building it from scratch with hands-on practice for chatbot development. This course will help you learn basic to advanced mechanisms of developing chatbots using machine learning, deep learning, and AWS with Python.

Learn to efficiently use Midjourney, an AI image-generation tool sweeping the globe. Generate images with artificial intelligence (AI) in a revolutionary way using text prompts or simple drawing tools. So, join this course and let's get your first idea on the screen!

In the past, popular thought treated artificial intelligence (AI) as if it were the domain of science fiction or some far-flung future. In the last few years, however, AI has been given new life. The business world has especially given it renewed interest. However, AI is not just another technology or process for the business to consider - it is a truly disruptive force.

This course is designed to explore creative potential and hone artistic skills using ChatGPT. It covers how to use ChatGPT, generate ideas, research for a novel, create comics, and use other AI tools. Additionally, the course introduces ChatGPT for storytelling by providing prompts and refining its output to generate story ideas and characters.

Get started with Neural networks and understand the underlying concepts of Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks. This hands-on course will help you understand deep learning in detail with no prior coding or programming experience required.