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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

4.6
stars
4,551 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 na茂ve 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. 艁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....

Top reviews

YB

Oct 16, 2022

This course is excellent and is well-organized鈥�. I would definitely recommend it to others. The instructor鈥� explains the topic in a crystal clear way鈥�. I鈥� learned a lot and had a great time. Thanks!

MR

Feb 12, 2023

I really enjoy and this course is exactly what I expect. It covers both practical and conceptual aspects greatly and I recommend everyone to enroll in this course to make their NLP foundations strong

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751 - 775 of 899 Reviews for Natural Language Processing with Classification and Vector Spaces

By Franz N

鈥�

Oct 4, 2020

Good content, assignments could be improved

By Sourav K

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Feb 23, 2021

Good theoretical and practical examples.

By Ruiwen W

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Jul 17, 2020

somewhat explanation are not super clear

By Mehmet F B

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Oct 4, 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 21, 2020

Grader issues, but generally good

By Subhendu M

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Sep 28, 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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Jul 1, 2022

you can add french subtitles

By Mohamed T B

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Aug 1, 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 26, 2020

鞓ろ儉雮� 靹る獏 攵�臁膘澊 雸堨棎 雱堧 氤挫榾雼�.

By Pavao S

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Oct 21, 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 !!

By Luis M A P

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Jul 5, 2020

really good

By Samiha E

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Oct 15, 2023

excellent

By Haoxiang Z

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Jul 8, 2020

decent

By MoChuxian

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Oct 19, 2020

nice!

By M n n

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Nov 2, 2020

Nice