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Learner Reviews & Feedback for Natural Language Processing with Probabilistic Models by DeepLearning.AI

4.7
stars
1,650 ratings

About the Course

In Course 2 of the Natural Language Processing Specialization, you will: a) Create a simple auto-correct algorithm using minimum edit distance and dynamic programming, b) Apply the Viterbi Algorithm for part-of-speech (POS) tagging, which is vital for computational linguistics, c) Write a better auto-complete algorithm using an N-gram language model, and d) Write your own Word2Vec model that uses a neural network to compute word embeddings using a continuous bag-of-words model. 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

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!!

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51 - 75 of 286 Reviews for Natural Language Processing with Probabilistic Models

By Prantik B

Aug 29, 2020

The overall contents are very much interesting & also helpful. But week2 & 3 was a little bit harder for me. So I think, those contents can be little bit more informative so that anyone can go through the week's assignment more clearly.

By Usama I P

May 16, 2021

Best Course for studying NLP. I started NLP as an experiment but these guys made me fell in love with NLP with such a clear and in depth explanation of everything that I feel so confident. Thank you for such an awesome course.

By Cecilia G R P

Sep 8, 2020

Excellent course, the explanations given by Professor Younes were very clear. It allowed me to learn more about how natural language processing is done on the inside. Thank you to all the teachers for sharing their knowledge!

By Dustin Z

Aug 22, 2020

A good course that covers several important probabilistic models in NLP. Very good balance between challenging and easy. There are also some interesting software concepts like dynamic programming discussed. A fun course!

By Vijay A

Oct 25, 2020

Excellent and detailed description of how autocorrect and autocomplete work, as well as how POS are tagged based on Markov Models and how word embeddings are derived using a CBOW model.. thoroughly enjoyed this course!

By Christoph H

Jul 1, 2020

This course goes hand in hand with the Daniel Jurafsky's introduction to NLP (Speech and Language Processing) and provides the knowhow for hands on implementation of simple but powerful probabilistic methods.

By Vishal b

May 3, 2021

Amazing course , just loved the way faculties has explained the complex concepts in such a easy manner and also hands-on labs and graded assignment are very helpful to review one's understanding of concepts

By Neo P

Jan 22, 2022

This class is one of the best on the subject. The prof is very knowledgeable and explains concepts very clearly.

The code in the assignments and lectures is super clean and structured incredibly well.

By Noah M

Dec 13, 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).

By Harshavardhan S

Dec 3, 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 Sazzadur R

Aug 4, 2021

Another great course introducing the probabilistic modelling concepts and slowly getting to the direction of computing neural networks. One must learn in detail how embedding works.

By Bharathi k N

Sep 11, 2020

This is one of the best courses i have taken. I have learned a lot from this course. Assignments were great and challenging. Thank you deeplearning.ai team for this amazing course.

By Aditya h

Oct 9, 2020

Thoroughly relished this course. Each and every concept is explained in depth as well as there is a companion notebook to explain as well as practically implement the concepts.

By Kazuomi K

Jul 1, 2020

This course is very good introduction to NLP Probabilistic models such as Hidden Markov model, N-Gram Language model, and Word2Vec with Python programming assignments.

By Marc G

Jan 24, 2022

Excellent course! Well designed and taught. I would have liked more advices on how to preprocess text before applying word embeddings (lemmatization, stemming, etc.)

By Veronica B

Jul 29, 2022

This course was really great. Most videos have small understanding questions at the end. The final assignment was the peak of the smaller lecture notebooks.

By Jian G

Oct 27, 2020

this course is well-designed. It incorporates all factors that make a successful online course. bitesize video, easy to understand, exercise notebooks, etc.

By bob n

Feb 13, 2021

Nicely broken into digestible chunks. Labs well done, not too easy, and too too frustrating. Material presented clearly and in (again) nice small steps.

By ps

May 30, 2021

I'm really thankful to the professors for sharing there knowledge and experience and creating this excellent course. I have learnt a a lot. Thank You !!!

By Abanoub P

Dec 28, 2020

A great course in the very spirit of the original Andrew Ng's ML course with lots of details and explanations of fundamental approaches and techniques.

By Ivan V S

Sep 26, 2021

I grade 5 stars, but take in account, that this course is very specific. It provides real basics of NN and NLP and it is more fundamental than apply.

By Baurjan S

Aug 29, 2020

Totally enjoyed it. I took a Deep Learning course a couple of years ago and in some respect, it was a great refreshment form two years ago. Thank you!

By aanand l

Feb 3, 2021

Course well structured. SBOW very well explained and registered firmly. Word embeddings explained very well. Overall very happy from the learning’s

By Long H T

Jun 14, 2021

This course is amazing! I could not know that I can learn so many interesting things! I am so happy to take the next course in the specialization.

By yesid a c m

Jan 7, 2021

Es extenso, pero super interesante la forma de aprender por coursera, cbow model es super chevere. aprendí también, temas de toquenizar textos.