NM
Dec 12, 2020
A truly great course, focuses on the details you need, at a good pace, building up the foundations needed before relying more heavily on libraries an abstractions (which I assume will follow).
HS
Dec 2, 2020
A neatly organized course introducing the students to basics of Processing text data, learning word embedding and most importantly on how to interpret the word embedding. Great Job!!
By Sandeep V
•Oct 2, 2020
Sone Quiz should also be there. Assignments can be solved by python knowledge an following the instruction
By Gopal M
•Sep 5, 2020
Assignments were incorrect.
Lot of content was squeezed in the last week. Even spread would be ideal
By Aung Z P
•Jul 14, 2020
I love the way the instructor teach and the course design which is made to be simple but effective
By Aman M
•Sep 14, 2023
In week 4, the formula for the partial derivative of the cost function wrt b2 is not mentioned
By John F
•Feb 19, 2022
great material and presentation, there are a few typos here and there but not a big deal
By Mounir H
•Dec 1, 2020
I didn't like weeks 1 and 2 too much but I liked week 3 and I really liked week 4.
By bdug
•Apr 5, 2021
I liked the lecture, very well prepared. Only the part on metrics was a bit short
By Vladimir V
•Jul 20, 2020
This is a good course but I would like to see more emphasis on the mathematics.
By Manuel V B
•Apr 11, 2021
Great course, but the last week felt a bit messy with submission evaluation.
By Pedro P
•Feb 12, 2024
Algebra could be explained more in depth, but all in all, good course
By Sophie Z
•Jan 3, 2021
Not sure if it is on purpose, but W4 labs have repeating content.
By Vi T T
•Dec 4, 2021
wonderful course, I learned the fundamental of NLP. Many thanks
By John
•Sep 1, 2022
Good content and presented in an easy-to-learn fashion.
By Muhammad A
•Jan 13, 2024
Could be improved with better visualizations.
By Jinsong T
•Jun 8, 2021
Too basic and going at too slow a pace
By Esakki p E m
•Apr 11, 2021
excellent Material & teaching
By Roshan k
•Aug 6, 2023
week 2 need bit more help
By AVIJIT J
•Aug 16, 2021
Good, very good.
By Randall K
•Apr 14, 2021
great course
By ugur b
•Jan 2, 2022
Veri good
By MoChuxian
•Oct 31, 2020
great
By Deleted A
•Sep 5, 2021
good:
* some of the content is well-explained
* provides good solid knowledge about the background and implementation of common NLP tasks
less good:
* notebooks (and content generally) are unevenly distributed
* significantly stronger focus on ML, rather than on the NL side (this is consistent throughout the specialization)
* some of the explanations (e.g. in week 2) aren't clear
* specialization could be structured better -- word embeddings are introduced in course 1, but the in-depth discussion is here in week 4; would perhaps have made more sense to have that content build on itself
By J N B P
•Mar 5, 2021
In this course, you will learn to build an autocorrect model and different methods of building this model. The course felt a bit rushed with a lack of detailed explanation, students who are familiar with the concepts of NLP from before starting this specialization won't face any problem, but students who had just begun learning NLP through this specialization might feel a little difficult.
By Gent S
•Apr 8, 2021
The course material is good and you can learn new things, you can exercise python skills a lot as the assignments are quite long. However, the tutors are not the best in explaining the material as well as the videos are a bit vague. It would have helped if the tutors were a bit more experienced in teaching, but still overall good!
By Aditya J
•Aug 14, 2020
well I did deep learning specialization earlier things are mathematical, but here they don't go much into maths, and please make some concept chart, to link different algorithms.