Chevron Left
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
4,280 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

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

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.

Filter by:

826 - 850 of 852 Reviews for Natural Language Processing with Classification and Vector Spaces

By Victor S

Feb 10, 2021

Mostly elementary feel-good with dinner recipe style follow-ups. Assignments are not set up well, have weird issues with submission error margins

By Sahar N

Jul 3, 2022

Comparing it to other deeplearning.ai courses the content was harder to follow and the assignemnts were not super eucational.

By Daniel J

Aug 19, 2020

Might be good for absolute beginners but if you have some background in maths or machine learning you won't find much new.

By Tsegaye H

Jun 25, 2020

I want to skip this course because I don't enough background in the concept to be able to follow the lectures.

By Carlos M P

May 8, 2023

Not a great course, honestly. The videos are too shalow, and the exams involved completing functions.

By Milind D

Aug 17, 2022

I felt like the instructors are themselves a language model. Put in some style guys.

By Anil K G

Mar 10, 2023

very help and the explanation is excellent .actually , i learn a lots things in nlp

By Sergei G

Aug 22, 2020

Very confusing theory and labs comparing with previous Deep Learning track.

By Justas K

Jun 23, 2022

Theorey is very shallow and the programming assignments are very basic.

By Deleted A

Sep 21, 2020

A

l

o

t

o

f

e

r

r

o

r

s

By Paul K

Nov 29, 2022

Terribly frustrating experience so far.

I have a phd in a statistical field and many years of experience with machine learning. I took this course to brush up on things I already know, as well as learn some new aspects of NLP.

So far, on courses where the content is a breeze for me, I spend more time trying to get the stupid tests to work than I do answering the questions. Then when my functions pass the tests, the autograder says they fail, and there's no clear explanation for why. The autograder says "see stderr output" but it's not provided! If you so much as breathe the wrong way in the code the autograder will fail.

Then you try to get help and the Coursera documentation says "go ask someone in the forums." Yet you can't find the forums because the link to the forums is not in the place where the documentation says it should be.

By Robert P

Sep 2, 2021

You made the first assignment unnecessarily complicated requiring a Twitter API, and Twitter is giving me the runaround. But we should not need one. Besides, the instruction are so poorly formatted, it is a huge waste of time. I am ending my free trial. I am learning more from free Youtube tutorials. I have had some good experiences o Coursera and some terrible ones. This is one of the worst.

By Jianwei Y

May 29, 2021

The content is not as good as I expected comparing to the deep learning specialization. Mistakes can be found from both lecture and assignment. The instructor did not explain as much and it seems like he was just trying to finish the video rather than explaining. The grading scheme for the last assignment is terrible as my feedback said. I feel disappointed.

By Greg D

Dec 24, 2020

Spends a lot of time going over tedious implementation details rather than teaching interesting NLP topics and nuances, especially in the assignments. I would highly recommend spending your money and time on something else.

For having Andrew Ng's course as suggested background for this course this is a big step (read as fall) down.

By Dimitry I

Apr 14, 2021

Very superficial course, just like the rest in the specialization. Quizzes and assignments are a joke. Didn't want to give negative feedback at first, but now that I am doing course #4 in the specialization, which covers material I don't know much about (Attention), I've realized how bad these courses are. Very sad.

By Khang “ P

Oct 27, 2021

The exercise is really badly designed. The "fill in the blank" lab do not help students actually learn. The videos is just a scratch on the surface and do not give students a good understanding of the problem. How you can suppose someone to take in NLP without prior knowledge of calculus or linear algebra?

By Sheikh S R

Aug 7, 2022

NLP specialization teaches Logistics regression which must be part of data science 101. Absolute waste of time.! Course 1 & 2 are absolute unnecessary and only for profit maximization because it takes time to finish the hands on exercises.

By harish k

Jan 31, 2021

Each video is ranging from a minute to 5 minutes, which will become bit tough in knowing subject and also the intuition behind each concept is not explained clearly. Will not recommend this course for learning NLP

By aki n

Mar 3, 2023

I could not finishe the course because I have a compiling trouble.

Is there any way to initialize the assighnment file?

By Jing W

May 26, 2022

very now or then 2mins of truncated videos make inconsistent, disruptive learning experience.

By Tamas I

Sep 7, 2020

Very light content, no depth to many of the concepts. Not worth the money.

By Janakiram C

May 10, 2023

I have submitted the week 4 lab assignment but it is grading as zeros

By Ngacim

Nov 1, 2020

Just ignore videos. They're kind of wasting your time.

By Shiny J S

Oct 31, 2020

A disaster of the programming assignment grading

By Neko A

Oct 20, 2022

no forum, broken grading test but no fix