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

3,819 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


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


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.

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701 - 725 of 772 Reviews for Natural Language Processing with Classification and Vector Spaces


Sep 14, 2020

Seemed easy to me. Rest all is good, the explanation and assignments.

I am reducing star by one rating because of the interface for assignment is poor.

By Michele V

Sep 17, 2020

Good coding part. For my background the lecture material was a bit too easy. However, if your intention was to keep it easy, then good job!

By Yuthika B

Nov 30, 2022

The course misses depth and needs to focus on applications of these algorithms rather than introducing more and more algorithms so fast.

By Toon P

Jun 7, 2022

It is rather annoying that the videos are short and even shorter because half of the time is spend on an intro and outro

By Leonardo F R

May 23, 2021

Liked the in-depth linear algebra and gradient descent, but missed some extras like lemmatization and HMMs in NLP...

By Anatoly D

Aug 4, 2021

Compared to other courses (esp. Adrew Ngs) very low in-depth explanations and challenge level.


Aug 19, 2020

Although the course presents an overview of the topic, I was expecting a more advanced and deeper approach.

By Harsh G

Feb 23, 2021

Didn't Feel Like I am learning some concept very basic concepts nothing related to real life and NLP

By Susie B

Oct 15, 2021

In general, good. Misspellings in assignments is not very professional, should be revised.

By Phillip

Sep 20, 2020

Would be good if there are more checkpoints to see if the codes are correct or not.

By Kestin C

Oct 29, 2020

Some example is hard to understand, and few of the diagram is ambiguous.

By Alexander A

Dec 21, 2020

Especially later excercises contain code/instructions that are unclear

By Luiz O V B O

Jun 24, 2021

I would like to have more content and explanation about the math

By john s

Jan 10, 2021

I don't feel the assignments help understand the material.

By Huang J

Dec 23, 2020

The videos are too short. Discussions are oversimplified.

By Renato G

Dec 14, 2021

It is an interesting course to learn the basics of NLP

By Anish S

Nov 9, 2020

good for beginners, but needs more advanced concepts.

By Sonam G

Aug 2, 2020

The explanations in the videos could be improved.

By Deleted A

Jun 27, 2020

No longer required. Beyond my present knowledge.

By Shayan J

Dec 26, 2020

Content is verbose and locks context in places

By Lorena P

Feb 14, 2021

I believe that explanations where too shallow

By Zaid A

Dec 11, 2021

very good course, a lot of stat and math

By Sihao L

Aug 18, 2020

So many small mistakes here and there

By Devarsh M

Feb 12, 2023

Disappointed. need better syllabus

By Kaufland e S G A : H 2 5 K

Jul 5, 2022

Mentor needed for the assignments!