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Natural Language Processing with Classification and Vector Spaces に戻る による Natural Language Processing with Classification and Vector Spaces の受講者のレビューおよびフィードバック



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....




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



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.


Natural Language Processing with Classification and Vector Spaces: 701 - 722 / 722 レビュー

by Amit A


Giving 2 stars because of notes provided with lectures, but there is a huge difference between what is taught in lectures and the real implementation

by Victor S


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


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

by Daniel J


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


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

by Sergei G


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

by Justas K


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

by Deleted A














by Ben S


By far the worst course I have ever done.

The 'lectures' are just a few minutes long and as expected are very thin. Moreover, the majority (yes > 50%) of the lectures are spent explaining basic linear algebra (much of which is high school level) and hardly any time is spent on NLP itself. Most of the core NLP concepts are barely mentioned and it is obvious that the labs were written by someone else than the person who wrote the lectures as terminology gaps / differences exist and as the content is very thin it's impossible to put two and two together.

The readings are simply annotation summaries of the already brief lectures. They add no value.

The labs do not support learning in anyway. They are simply a 'fill in the gaps' exercise where > 50% of this would simply be figuring out which variable you need to index inside a loop. It is a joke.

The only good aspect of this course is the slack community and is the only thing I can recommend. If you can sign up for the trial for the course / specialization and participate in the slack community. Apart from that, the remainder of this course is a huge waste of time: you won't learn NLP here, you will simply have a guided python tour with NLP problems as content.

by Robert P


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


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


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


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 V P


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


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


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 Tran H K


there is no note provided

the programming questions and instructions are so ambiguous

this led to much confusion

by Jing W


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

by Tamas I


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

by Ngacim


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

by Shiny J S


A disaster of the programming assignment grading

by Elshan B


Assignments notebooks were not launched.