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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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76 - 100 of 286 Reviews for Natural Language Processing with Probabilistic Models

By Ankur G

Sep 26, 2020

More fun if it would have more ungraded coding problem to solve ,It would be optional so that who wants to do more practice can be benefitted.

By Hieu D T

Apr 21, 2021

Very well built lectures. The content is foundational enough for new student like me. I feel more comfortable with keywords in this field now.

By Russell H

Aug 18, 2020

A bit light on the math vs. some other ML courses I have taken, but the good news is that this lets the focus be on the NLP-specific material.

By Kartik S

Sep 6, 2020

The course content was really engaging. This really helped in understanding many of the basic foundational models for pivotal tasks of NLP.

By Prakhar M

Nov 10, 2020

Very intresting and effective way of studing NLP . Totally amazing and 10/10 for the clearity of lecture delivery and video presentation .

By Andrés F R P

Nov 16, 2021

Excelente! Me gustó mucho como enseñan la intuición y matemática detrás de los modelos de lenguaje probabilisticos y Word Embeddings.

By Anshul B

Mar 7, 2021

I liked this better than the 1st course in the specialization. Instructors cover some real fundamental concepts and techniques in NLP

By Vedika P

Oct 19, 2020

Brilliant course. Very enriching content and so very well explained. Challenging assignments made me explore each concept in-depth.

By FERNANDO D H S

Sep 10, 2020

Excellent course, although the last assignment is very straight-forward and may be good to have a more in depth coding of the loss.

By Prateek J

Feb 4, 2021

Amazing course. Starts from the basics and then teaches concepts in-depth. The exercises are also very elaborate and well thought.

By Moustafa S

Sep 8, 2020

now we are talking, i really enjoyed this one, this gives you a pass to the first course as i didn't enjoy it at all :D, good job!

By Ebram R T

Aug 11, 2023

This course is just superb. You will learn crucial concepts which will help you to be a NLP developer. Thanks deeplearning.ai

By RAJ B S 1

Sep 6, 2020

Amazing how you make it look so so easy and explain straight to the point. Loved the implementation details and the notebooks

By Jayantha N

Aug 7, 2020

All my doubts about word2vec models were cleared, after taking up this course. The instructor's diction was easy to follow.

By Yeison T

Jun 2, 2022

I'm happy to learn all ot topics about Neural Networks in NLP. Explanations are very eaiser to understand. Thanks =)

By Debabrata M

Feb 3, 2023

Very detailed and thorough course. The lab notebooks were very helpful in translating the understanding into code.

By Aftab K

Jan 18, 2021

Very well presented with the right level of detail and emphasis along with complementary programming exercises.

By Muhammad A N

Feb 2, 2022

Excellent design and delivery of the course. Makes one understand quite complicated algorithm in short time.

By Bernard E

Oct 14, 2020

Great coding examples and exercises! All functions coded from scratch, no ML libraries used, which is great.

By Thomas L

Feb 16, 2021

Exceptional. Second only to Andrew's course. The coding assignment's were the perfect level of difficulty.

By Dustin V

Jan 16, 2021

Excellent primer material for probablistic NLP approaches. Sets the foundation for deep learning with NLP

By Manmohan K

Aug 3, 2020

Loved it! The lectures as short and concise and the ungraded labs are a bonus which helped me learn a lot!

By Jerry C

Aug 4, 2020

Great overview! Includes building of a neural network from the fundamental building blocks with numpy.

By Albeiro E

Nov 14, 2020

One of the best NLP courses i have taken in my life! Thank you so much Coursera and DeepLearning.ai!!

By Wong H S

Jun 21, 2021

The content is useful and interesting, pretty enjoy the learning process with course's instructor!