Back to Natural Language Processing with Classification and Vector Spaces
Learner Reviews & Feedback for Natural Language Processing with Classification and Vector Spaces by DeepLearning.AI
4,609 ratings
About the Course
In Course 1 of the Natural Language Processing Specialization, you will:
a) Perform sentiment analysis of tweets using logistic regression and then naïve Bayes,
b) Use vector space models to discover relationships between words and use PCA to reduce the dimensionality of the vector space and visualize those relationships, and
c) Write a simple English to French translation algorithm using pre-computed word embeddings and locality-sensitive hashing to relate words via approximate k-nearest neighbor search.
By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, created tools to translate languages and summarize text.
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. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.
Top reviews
VG
Jul 11, 2020
Best Course Content for begginers as this course begins code with Scratch and popluates code with basic operations. In my opinion, this is the best course for NLP. Thanks Instructors
HA
Aug 8, 2020
one of the Best course that i had attented in deeplearnig.ai the last week assignment wasto good to solve which cover up all which we studied in entire course waiting for course 4 of nlp eagerly
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