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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: 126 - 150 / 726 レビュー

by Himanshu B


This course is highly recommended for all AI enthusiasts wishing to learn the NLP concepts from the scratch. This course has everything needed with the start-with content.

by V V T


it is an excellent course. The resource persons are also beautifully delivered. Thanks to the coursera team for providing this kind of course to me to upgrade my self...

by Cecilia E G R P


I learned more than I expected at NLP. Excellent teaching-learning methodology. Understanding the videos, lab and readings allow you to solve the assignment intuitively.

by Aryan S D


This course was very informative ,got to know about knn's,hash tables perfectly ,also hope the difficulty of the week 4's programming assignment will be slightly reduced

by Nikhil K


Awesome course except that it's assumed that we know a few things beforehand like LSH, PCA in depth given the minimal explanation in the videos. Assignments were great.

by Ahmed M


special thanks to organization for providing such a fruitful course like that with much new techniques for NLP classifications and high-quality videos

by satish b


This is the best course that will give practical orientation and tests our capability in solving Real world machine learning problems of Natural Language Processing!

by Srishti M


A good course for beginners or people getting back to the field. The assignments were useful, and could be completed quickly with the integrated jupyter notebooks.

by Taranpreet s


Great first course for the specialization, Concepts were explained clearly, Assignments and labs are very valuable. Level of Assignments is on the easier side.

by Dinithi S


Even though I had a basic knowledge of what NLP is and how to implement a basic code, this course provided me an in depth knowledge about how NLP really works.

by Nilesh G


great resources, great learning, easy to understands concepts and it programmatic implementation use cases make us more familiar to work on practical use cases

by Adarsh W


Everything about this course is good except programming assignments. Why do we have to implement everything from scratch ? Why not use some python libraries ?

by Sajidur R


The assignments and workbooks are painstakingly designed to give a complete hands-on experience over the concepts. My NLP intuitions have never been stronger.

by Lis K P


I found the course excellent and very useful to learn NLP in practice. I got a bit confused in the last part of week four, with the hash function and LSH.

by Derwin N


Very good course for beginner. Good refresher from the Deep Learning Specialisation. I think more time should have been spent on the hash tables sections.

by Rachele F


I liked this course. Sometimes for me it was a little bit difficult, because I don't have background of computer science. Anyway, The lessons are clear.

by Baurjan S


As with any course it only makes sense when applied. But it definitely added to my understanding of the wire-framing of the Natural language processing.

by Mihir S


One of the first courses that I enjoyed throughout and did not have to fast forward. Content, pacing, assignments, and lectures, everything is perfect.

by Devansh D


r​eally great. learnt a lot of basics. knew how to perform vector based searches using librarires but learnt how the algo is actually conceptualized

by Michel M


High pace, lots of topics and information. Assumes quite some knowledge and does not leave too much room to get a solid understanding of the subject

by Vipul A


great course with in depth understanding of nlp concepts , tells you how word embedding works and play very important role in language translation

by S M


Thank you for creating such an amazing course and making the material so accessible. I have thoroughly enjoyed it and look forward to the next one!



Wonderful way to start NLP. Thank You Coursera for this course. Curriculum for this course is much better than other Platform. Thank you Andrew G.

by Edwin Y


Great course but a little too easy for someone who took the Deeplearning Specialization. I am sure it will become more challenging as we progress.

by Tania V


Very good course! The labs and the assignments really help understand the material "from the ground up", by implementing the algorithms in numpy.