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

4.6
stars
4,260 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

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.

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

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51 - 75 of 847 Reviews for Natural Language Processing with Classification and Vector Spaces

By Evgenii T

Feb 8, 2021

HW check is just awful. I need to use exact these functions (i.e. squeeze instead of ravel).

Moreover, one could complete homeworks without referring to the lectures at all -- zero challenges met.

The last HW is not balanced (11 tasks -- too much compared to the rest).

I would suggest the course makers to redesign the homeworks dramatically.

By Amir M S

Jul 16, 2020

Thank you first of all. I think the length of videos could be longer for better understanding of concepts. Specifically, I think in Week 4 there are a lot of concepts like ( Locality Sensitive Hashing) that could be better explained.

By Nirjhar D

Oct 17, 2020

The assignments lacked clarity. The huge number of variables used for seemingly trivial intermediatory task is really confusing. Also, the assignment documentation and instructions need to be enhanced,

By Brooke F

Aug 16, 2020

The exercises and assignments seemed to place more emphasis on the coding and less on the theory and study of natural language processing per se, imho.

By Benjamin W

Jul 14, 2023

I can not give a good rating for this specialization. The teaching style seems antiquated to me. Instructors are reading text like an AI from a text ticker (you can even see the eyes moving). Sometimes the quality is not good ("plopp-noise" because a bad microphone or headset was used). The Jupyter Notebooks for the Assignements do hang often. Moreover I think the quality of the code could be better. I'm working through the Specialization because my employer paid it. I can not say, it's very motivating. Despite my negative review, I learned something from it.

By Gabriel T P C

Aug 3, 2020

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a shallow, the lessons doesn't go into details. The teacher only shows what's needed for understanding the week exercises. I won't dare say it's even basic level.

By Oscar d F

Aug 26, 2020

Really too elementary. You can skip almost the whole course if you attended the DeepLearning specialisation.

By Younes O

Dec 20, 2023

I came to this course motivated and excited. However, after having taken the machine learning specialization taught by Professor Andrew Ng, I was disappointed by the quality of this course. Not only does this course go too fast and doesn't explain the intuition and reason behind concepts, the labs are outdated and have terrible unit tests. I work by day and study by night, only to find a programming assignment (week 2) that has terrible unit tests. It tells you that 12 tests passed and 3 didn't. Why? Who the hell knows why? Which defeats the concept of a unit test. Then I found myself debugging the unit tests themselves to understand why the they fail. I mean, calculating the loglikelihood is straightforward, and yet, it said that the tests failed. Go figure! I do NOT recommend this course!

By David H

Mar 1, 2023

I am waiting for my certificate for over a month now, there seems to be the problem with the grader that wont mark my assignment as passed. I reached for support multiple times now and no matter how easy the problem is or how important to me it is, nothing is done. Pretty dissapointed. In general the course is great.

By Tran H K

Aug 9, 2020

there is no note provided

the programming questions and instructions are so ambiguous

this led to much confusion

By Harish A

Jun 22, 2020

Poor quality of video content

Persistent issues in accessing the labs (It hangs 50% of time)

By Yuri C

Dec 21, 2020

I enjoyed the course very much! I would say, there is still some things to improve, like the treatment of the implementation of the hash-local search, or some typos here and there along the way in the notebooks. Another suggestion is to postpone the implementation of SGD until after you get some warm-up in numpy during week 2-3. All in all I quite enjoyed the approach to be able to build the tools myself with numpy. This way, it demystifies the use of pre-built packages and lets the learner indeed understand what is going on under the hood. Of course, there is always a trade-off between being precise and being easy to understand. I think nevertheless that this course is spon-on in this trade-off optimization task. ;)

By Akshay M

Aug 8, 2020

This is an amazing course for beginners in the field of natural language processing. It starts with the very basics of machine learning and natural language processing. Exploring sentiment analysis using two different approaches one is a frequency-based approach (involving logistic regression) and the other is a probabilistic approach (involving naive Bayes approach). This course also gives a glance of vector spaces and techniques to convert multidimensional data to lesser dimension data using approaches like PCA. I learnt new topics like locality sensitive hashing during the last week of the course. It was a fun and engaging course overall :)

By Soh W K

Jan 15, 2023

I think this course really opens up the student to the field of NLP, the concepts shared are simple enough to understand, and the codes shared in the lectures / tutorial labs are really useful to understand how the theory is translated into python codes and applied into working models. I love learning NLP! When I am learning NLP I am Happy indeed with DeepLearning.AI, thank you Professor Andrew Ng and et. al. The Training Instructors do explain the concepts and application codes very well. My heartfelt thanks and gratitude to this course!

By Kritika M

Jul 14, 2020

I really like the way the course is structured and the way it is taught. The language is clear and it goes at a good pace. I have completed the Deep Learning Specialization as well and felt that this course had a better segregation of material/videos. The short videos make sure you don't lose focus or get bored. Content-wise, the course is great for understanding the initial steps required for approaching NLP problems. Highly recommend it and I look forward to completing rest of the courses in this specialization.

By Orson T M

Sep 13, 2020

No matter who you are or who you have been, you can be whoever you want thanks to this course you will understand in great detail the Natural Language Processing with Classification and Vector Spaces. The teacher rigorously explains its content by putting you in a real situation and the key concepts are very well explained in clear the academic rigor is there now I can affirm without reserve that I understand very well several concepts which were strange for me thank you to coursera and deeplearning.ai

By John A J

Jul 19, 2020

This course had helped me become familiar in natural language processing. Before taking the course, I feel that NLP is already like a plug-and-play thing due to deep learning. However, it had helped me understand the importance of preprocessing especially to get the right embedding. Additionally, it also help me understand a glimpse of doing sentiment analysis and Machine translation. Indeed, I still have many things to learn but this course is a great way to be introduced on the NLP.

By Mikolaj O

Feb 25, 2021

Great intro to the world of NLP. For those with a background in python, linear algebra and statistics (my case) course will take significantly less time, as you can skip some of the videos and rush through easier notebooks. Assignments will make sure you haven't overlooked parts you don't yet understand. In my opinion comments and hints sometimes lead by the hand a little bit too much, but maybe I'll change my mind when faced with assignments from next courses of the specialisation.

By Pramod

Jul 25, 2020

I had attempted other NLP coursse before attempting this course. I found this course is a good to people who are new to NLP or even new to machine language. The hand-on examples and assignments are the plus points of this course. Though the coding the assignment may look like "fill in the blanks" sort of exercise, I appreciate it since it helped me to understand the concepts. Planing to take up the next course in this series. Great instructors and program is well structured.

By Marcio R

Aug 11, 2020

Amazing course overall, I have a few years of experience working as Data Scientist and still could get many valueble learnings from it. So whether you are a beginner or someone with some experience I would recommend it. The material is great, the Notebooks used for coding are very well structured, the lessons are very focused - I recommending doing some searches on the side to make sure you grasp all the concepts properly. Also the Slack community is very supportive.

By Yusuf C A

Aug 11, 2020

I had an project about NLP and I was trying to find a course on internet. To be honest I tried another website's course but it didn't help so much. When I see that the videos are really short in this course I started to think like "What, is this joke? Will I really learn anything?". However I understand that courses teach so many things. I'm really glad to get this course and I believe that it has given me a lot for my future career.

By Pietro B

Oct 25, 2020

I've done online courses before, including other deep learning courses. But I can't talk enough about how well organized and just far superior the deeplearning.ai courses are. The video lessons are short and to the point, the exercise sessions are challenging but not impossible, and the community of students and teachers are all very active on the message boards to help you get through when you are stuck. Can't wait to do the rest!

By Grant H

Jun 30, 2020

Andrew Ng and his colleagues have delivered another excellent course - these really set the standard for online courses on machine learning. The concepts and coding are explained very clearly by the tutors, and the exercises offer a suitable level of challenge. The final assignment involves building an automated translation capability based on word vectorisation and hash tables, ie a potentially useful/usable capability.

By David M

Jun 26, 2020

The course is very well prepared and the assigments are really useful to understand the complexity about some of the concepts that are explained along the course. I strongly recommend this course to anyone interested in NLP it does not matter whether you have too many expertise in this specific field. Of course, having some knowledge about Machine learning, statistical modelling or any AI related-insight will be a plus.

By 沈建军

Jul 14, 2020

The course does not teach me the NLP basic knowledge, it also help python beginner learning avoid mistakes. The course is well designed, I learning a lot though I already know the space vector and etc. I .

I sincerely thank for the team made this wonderful course! I fully believe e-learning will bring equalityto the all students on earth, especially to computer student. Because many things could learn from remote.