Learner Reviews & Feedback for Natural Language Processing with Classification and Vector Spaces by DeepLearning.AI
About the Course
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 ...
Top reviews
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
YB
Oct 16, 2022
This course is excellent and is well-organized. I would definitely recommend it to others. The instructor explains the topic in a crystal clear way. I learned a lot and had a great time. Thanks!
701 - 725 of 900 Reviews for Natural Language Processing with Classification and Vector Spaces
By Kirill T
•Jul 11, 2020
There were some unexplained moments (like PCA implementation in the 3rd course), but overall the course seems good.
By Gianmarcos E
•Nov 27, 2020
Me ayudó mucho este curso para entender como programar en python enfocandome al procesamiento del lenguaje natural
By Anthony W
•Jun 26, 2023
The final week of the course is not necessary (can be set as optional), since it's not commonly used in industry.
By Alberto P
•Mar 12, 2022
There were some files in the assigments that had a lot of bugs. But the rest of the course was very good.
By Vaibhav O
•Jul 3, 2020
Some of the concepts are too basic in the course and proper emphasis on vectorized operations is lacking.
By Shahin Z
•Oct 7, 2020
Very nice. (Would be even better if you can iron out all the little typos in the labs/assignments.)
By Musa A
•Jul 1, 2020
Course content was OK, but the instructer's performance is below average. I am sorry to say that.
By Kamal N S
•Sep 29, 2020
Informative course. Notebooks are well explained and very helpful to learn many concepts of ML.
By Huynh N A
•May 17, 2021
lab and assignments should be to understand and practice the theories, not programming skills
By mehrdad b
•Jul 4, 2024
Everything is perfect but the notes are super weak and abstract. Good notes defines a course
By Mikalai K
•Jul 29, 2020
good one! I would have done more complex tasks as assignments. Rather than that - very nice!
By Pratik L
•Jun 26, 2023
The explanation of topics is good, however the assignments seem a little spoon fed at times
By Saúl R
•Sep 4, 2021
Maybe you could be more rigorous, like in week 1 with the optional derivation of equations
By aydinakgokalp
•Dec 9, 2020
Course Material needs to be improved. But overall good course and teaches the way for NLP.
By DARREL N
•Jul 8, 2020
Excellent Course that provides detailed insights on usage of NLP and all of its concepts
By Norun N
•Jul 25, 2021
This is a must course if someone want to turn theoretical knowledge into practical ones
By peyman s
•Jan 1, 2021
The course is very well designed and integrated. I wish there was more material on PCA.
By Victor H
•Jul 28, 2020
The course should have more videos explaining, but the overall was good. Thank you.
By Matthew M
•Jun 22, 2021
Great course. Definitely only do if you are somewhat familiar with python though!
By Manish k r
•May 30, 2023
Great course and covers all the basic tools needed to get started in this field.
By Wenzhe Y
•Jan 10, 2023
While how to calculate is clear, I am expecting more explaination regarding why.
By Sergio B
•Nov 29, 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.