Natural Language Processing with Classification and Vector Spaces
4.5
Coursera205 learners
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Learn Natural Language Processing with Classification and Vector Spaces from Stanford and Google experts. In this Specialization, you will perform sentiment analysis, discover relationships between words, write a translation algorithm, and build a chatbot. Master the skills to design NLP applications and take your career to the next level.
Natural Language Processing: Foundations
5.0
Edx398 learners
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Discover the power of Natural Language Processing (NLP) with this four-week course. Learn how to work with text and explore traditional and modern approaches using deep learning. With over 30 years of experience, the instructor team will guide you through two assignments to create your own text classification application and a generative, text suggestion system. Join now and unlock the potential of NLP!
Natural Language Processing with Probabilistic Models
2.5
Coursera79 learners
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Learn Natural Language Processing with Probabilistic Models from Stanford and Google Brain experts. In this Specialization, you will create auto-correct algorithms, apply the Viterbi Algorithm for part-of-speech tagging, write an N-gram language model, and build a Word2Vec model. Design NLP applications and build a chatbot!
Build Train and Deploy ML Pipelines using BERT
4.0
Coursera141 learners
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Learn to build, train, and deploy ML pipelines using BERT in the Practical Data Science Specialization. This course will teach you to automate a natural language processing task by building an end-to-end machine learning pipeline using Hugging Face’s highly-optimized implementation of the state-of-the-art BERT algorithm with Amazon SageMaker Pipelines. You will learn to transform datasets into BERT-readable features, fine-tune a text classification model, and evaluate the model’s accuracy. Finally, you will deploy the model if the accuracy exceeds a given threshold. Leverage the agility and elasticity of the cloud to scale up and out at a minimum cost.
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