DeepLearning.AI - Natural Language Processing Specialization
4.8 /5- Offered byCoursera
Natural Language Processing Specialization at Coursera Overview
Natural Language Processing Specialization
at Coursera
Duration | 4 months |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Natural Language Processing Specialization at Coursera Highlights
Natural Language Processing Specialization
at Coursera
- Earn a Certificate upon completion from Coursera
Natural Language Processing Specialization at Coursera Course details
Natural Language Processing Specialization
at Coursera
More about this course
- Natural Language Processing (NLP) uses algorithms to understand and manipulate human language
- This technology is one of the most broadly applied areas of machine learning
- As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio
- By the end of this Specialization, you will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text, and even build chatbots. These and other NLP applications are going to be at the forefront of the coming transformation to an AI-powered future.
- This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. 'ukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.
- Applied Learning Project
- This Specialization will equip you with the state-of-the-art deep learning techniques needed to build cutting-edge NLP systems:
- '?'¢ Use logistic regression, na'¯ve Bayes, and word vectors to implement sentiment analysis, complete analogies, and translate words, and use locality sensitive hashing for approximate nearest neighbors.
- '?'¢ Use dynamic programming, hidden Markov models, and word embeddings to autocorrect misspelled words, autocomplete partial sentences, and identify part-of-speech tags for words.
- '?'¢ Use dense and recurrent neural networks, LSTMs, GRUs, and Siamese networks in TensorFlow and Trax to perform advanced sentiment analysis, text generation, named entity recognition, and to identify duplicate questions.
- '?'¢ Use encoder-decoder, causal, and self-attention to perform advanced machine translation of complete sentences, text summarization, question-answering and to build chatbots. Models covered include T5, BERT, transformer, reformer, and more!
Natural Language Processing Specialization at Coursera Curriculum
Natural Language Processing Specialization
at Coursera
Natural Language Processing with Classification and Vector Spaces
Natural Language Processing with Probabilistic Models
Natural Language Processing with Sequence Models
Natural Language Processing with Attention Models
Natural Language Processing Specialization at Coursera Admission Process
Natural Language Processing Specialization
at Coursera
Important Dates
May 25, 2024
Course Commencement Date
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3 months
Beginner
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S
Shivam Sharma
Natural Language Processing Specialization
Offered by Coursera
4
Learning Experience: The course provided in-depth knowledge about NLP and state of the art models like transformers
Faculty: More than the faculty, the peers were really excellent and helped in case of any doubts
The course consisted from basics like naive baiyes to transformers and it had assignments which were solved on Jupiter notebooks
Course Support: Provided knowldge
Reviewed on 29 Oct 2022Read More
R
Raju
Natural Language Processing Specialization
Offered by Coursera
5
Other: The course content is with out any doubt the best , but the fourth course was live very late
Reviewed on 16 Oct 2020Read More
V
Vanukuri gowthami
Natural Language Processing Specialization
Offered by Coursera
5
Other: My learning experience was great and I like the way there teaching style and I will prefer to use coursera the teachers are simiply amazing
Reviewed on 15 Oct 2020Read More
View All 3 Reviews
Natural Language Processing Specialization
at Coursera
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