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

4.6
stars
4,449 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, and even built a chatbot! 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

SJ

Jul 17, 2020

One of the best introductions to the fundamentals of NLP. It's not just deep learning, fundamentals are really important to know how things evolved over time. Literally the best NLP introduction ever.

MN

May 24, 2021

Great Course,

Very few courses where Algorithms like Knn, Logistic Regression, Naives Baye are implemented right from Scratch . and also it gives you thorough understanding of numpy and matplot.lib

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726 - 750 of 876 Reviews for Natural Language Processing with Classification and Vector Spaces

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 27, 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

By Yeongjae J

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Jun 25, 2020

오타나 설명 부족이 눈에 너무 보였다.

By Pavao S

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Oct 20, 2021

Good but very basic

By Sajal J

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Jul 23, 2020

Course is too easy.

By Asanka R

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May 11, 2021

well explained !!