The virtual course "Natural Language Processing with Probabilistic Models - Virtual Course - Coursera", is a course with different contents and that offers video classes of Approx. 28 hours to complete. Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
In Course 2 of the Specialization in Natural Language Processing, offered by deeplearning.
ai, you will: a) Create a simple autocorrect algorithm using minimal editing distance and dynamic programming, b) Apply the Viterbi Algorithm for tagged part of speech (POS), which is important for computational linguistics, c) write a better autocompletion algorithm using an N-gram language model, and d) writing your own Word2Vec model that uses a neural network to compute word embeddings using a bag-of-words model.
Make sure you are comfortable programming in Python and have a basic understanding of machine learning, matrix multiplication, and conditional probability.
By the end of this specialization, you will have designed NLP applications that perform sentiment analysis and answer questions, created tools to translate languages and summarize text, and even created a chatbot! This specialization is designed and taught by two experts in NLP, machine learning and deep learning.
Younes Bensouda Mourri is an AI instructor at Stanford University who also helped develop the deep learning specialization.
Łukasz Kaiser is a Google Brain staff research scientist and co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer article.
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Data science, business and personal development. You can enroll in multiple courses at once, earn unlimited certificates, and learn in-demand job skills to start, grow, and even change careers.
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