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Learner Reviews & Feedback for Natural Language Processing with Classification and Vector Spaces by DeepLearning.AI

4.6
stars
4,632 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

JC

Apr 20, 2021

The material was a little shallow in places, and there are some long standing issues with assignments and quizzes that remain unresolved. Other than that, it was an interesting course.

PS

Dec 8, 2020

Very structured and clear instructions but not as detail as Andrew Ng's ML course. But still great starting point for those pursuing NLP. So far the most decent NLP tutorial online.

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751 - 775 of 912 Reviews for Natural Language Processing with Classification and Vector Spaces

By Magdy H

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Jul 10, 2020

Good content, but an overview only of many important topics

By Javier

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Aug 31, 2021

An amazing introduction, with a lot of practical exercises

By AASEA G I (

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Aug 29, 2023

This course can be improved by including more examples.

By Jobaear H

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Dec 1, 2021

Need to explain code deeply. Overall excellent course

By Yifan W

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Dec 29, 2020

The last assignment is too long and badly organized

By Sophie Z

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Dec 26, 2020

The lecture part is short and homework id straight.

By Parisa A K

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Apr 26, 2022

Great way to start your study in the field of NLP

By sa2706

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Jan 7, 2023

I think the homeworks could be more challenging

By Jiang Z

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May 26, 2021

basic theoratical and pratical introduction

By Franz N

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Oct 4, 2020

Good content, assignments could be improved

By Sourav K

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Feb 22, 2021

Good theoretical and practical examples.

By Ruiwen W

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Jul 16, 2020

somewhat explanation are not super clear

By Mehmet F B

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Oct 3, 2020

last assigment was very long and hard

By Wibowo P

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Sep 28, 2020

good enough to review NLP materials

By Siddharth S

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Sep 19, 2021

very good and simple explanation!

By Ruan L D

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Jul 27, 2021

Great, but sometime many teorical

By Leon V (

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Jul 20, 2020

Grader issues, but generally good

By Subhendu M

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Sep 27, 2020

A very nice and concise course.

By Khaled G

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Dec 6, 2020

The slides should be provided

By BOUACHA L

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Jun 30, 2022

you can add french subtitles

By Mohamed T B

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Jul 31, 2020

awesome content but too easy

By V B

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Aug 21, 2020

Vector Modelling for NLP

By Mohammed F

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Jul 6, 2023

Much recommended course!

By Aakash G

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Aug 1, 2020

Explained LSH very Well.

By Pruthvi R P

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Dec 29, 2021

Bugs in Assignment code