Speaking Of: Machine Translation and Natural Language Processing (NLP)
5.0
aws training and certification806 learners
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Learn how to use Machine Translation and Natural Language Processing (NLP) to build secure applications and environments on the AWS platform. Get an in-depth look at NACLs, security groups, AWS identity and access management, and encryption key management. Join us and become an AWS security expert.
Natural Language Processing on Google Cloud
2.0
Coursera0 learners
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This course introduces the products and solutions to solve Natural Language Processing (NLP) problems on Google Cloud. It explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow. Participants will learn to recognize the NLP products and the solutions on Google Cloud, create an end-to-end NLP workflow by using AutoML with Vertex AI, build different NLP models including DNN, RNN, LSTM, and GRU by using TensorFlow, recognize advanced NLP models such as encoder-decoder, attention mechanism, transformers, and BERT, understand transfer learning and apply pre-trained models to solve NLP problems. Basic SQL, familiarity with Python and TensorFlow are the prerequisites for this course.
Natural Language Processing with Sequence Models
2.0
Coursera62 learners
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This course will teach you how to use sequence models to perform natural language processing tasks such as sentiment analysis, named entity recognition, question-answering, language translation, and text summarization. You will learn how to use GLoVe word embeddings, Gated Recurrent Units (GRUs), Long Short-Term Memory (LSTM) networks, and Siamese LSTM models. This course is taught by two experts in NLP, machine learning, and deep learning. By the end of this Specialization, you will have the skills to design and build NLP applications.
Clinical Natural Language Processing
3.0
Coursera0 learners
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This Clinical Natural Language Processing course teaches the fundamentals of NLP, including basic linguistic principals, writing regular expressions, and handling text data in R. You will learn practical techniques for text processing to extract information from clinical notes, and apply your skills to a real-world project to identify diabetic complications from clinical notes. This course is hosted by our Industry Partner Google Cloud and is a great way to learn the basics of NLP.
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