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

4.6
stars
4,441 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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701 - 725 of 876 Reviews for Natural Language Processing with Classification and Vector Spaces

By Wenzhe Y

Jan 10, 2023

While how to calculate is clear, I am expecting more explaination regarding why.

By Sergio B

Nov 28, 2021

Well balanced and the assignments give you a solid base to start a new project.

By Zahra S

Dec 22, 2020

very informative regarding the basics of NLP leading to get specialized course

By Shubhapradha S

Jul 17, 2020

This is one of the best courses on NLP. The core concepts are taught very well.

By Octavio S

Jul 11, 2023

It would be helpful to watch the graded tasks to see how it should be done.

By Yuanqin M

Sep 30, 2021

It is really hard for me to accomplish it. But I did! I am proud of myself.

By Ramprakash V

Aug 11, 2020

Wonderful course for NLP beginners. It sets you in the path of NLP mastery.

By Carlos M

Jul 15, 2020

Very good course of NLP. Some early bird problems about assignment grading

By Enrique C

Jul 12, 2020

graders have errors, and that leads to wasted time. the content is just ok

By OREISTEIN P

Mar 28, 2021

A good introduction! Can't ait to do the following course to go deeper!

By Stelios K

Oct 12, 2021

it could be more in depth e.g. PCA part. Also week 4 could be better.

By Rogerio B

Oct 23, 2020

Very good course. It needs to correct some assignments code, though.

By Jaswin K

Aug 28, 2020

Can be better! More detailed exposition is required in this course.

By Rajaseharan R

Dec 27, 2021

Some of the assignment's code needs to be revised and calrified.

By Timothy G

Aug 30, 2020

This course learn some additional techniques to speed process up.

By Shen C

Jul 15, 2020

this is a very easy course. doesn't feel like intermediate level.

By prem

Jul 30, 2024

I would like to get this type of knowledge in native language

By Ranjan S

Oct 5, 2020

Awesome course by the team. First step towards learning NLP :)

By Winster P

Oct 31, 2024

Really helpful and beneficial to understand the basics of NLP

By kp

Dec 21, 2020

Pretty simple content, could use more details and more videos

By Mukund

Oct 17, 2021

More practical and latest NLP techniques should be included

By Magdy H

Jul 10, 2020

Good content, but an overview only of many important topics

By Javier

Aug 31, 2021

An amazing introduction, with a lot of practical exercises

By AASEA G I (

Aug 29, 2023

This course can be improved by including more examples.

By Jobaear H

Dec 1, 2021

Need to explain code deeply. Overall excellent course