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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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126 - 150 of 286 Reviews for Natural Language Processing with Probabilistic Models

By Pratik D

Jul 21, 2020

Lucid explanations. Looking forward to other courses in the specialization!

By Maria S X C

Jul 20, 2020

it is very well structured and explain and in the short time is really goog

By Babak M

Jul 7, 2022

I love this course. It helps me to understand NLP better. I recommend it.

By Mridul G

Nov 12, 2020

A complete course to continue from first and is a good link to next course

By fozan t

Jan 30, 2024

Best course on nlp using probilistic models, a must for any AI Engineer

By Ssemambya O

Sep 27, 2020

A really great and highly practical Natural Language Processing course.

By Ahammad U B

Jul 30, 2021

Great Course and instructors. I really enjoyed throughout the course.

By Utku T

Feb 24, 2021

Awesome course! I learned many theoretical and practical techniques.

By Marcel S

Sep 24, 2023

Very professional, greatly explained, and suitable level difficulty

By jespinosa@hotmail.es

Apr 4, 2021

Excellent course the best of the four in the specialization in NLP

By Mohan N

Mar 1, 2021

Excellent coverage of topics, well designed programming exercises

By SOA-YU C

Sep 18, 2020

學很多有趣方法,像 POS tagging 用 Viterbi algorithm。作業題目出的好,透過答題能更加了解上課內容。

By Ananthu

Jul 15, 2020

Well explained course. Covers all the details you will ever need

By Magdalena H

Aug 18, 2021

Very instructive lectures and labs. Challenging assignments.

By Pramit C

Jan 19, 2024

Very Useful. It has really helped me to clear the concept.

By MICHAEL D S R

Sep 11, 2020

It's more difficult than I expected and I enjoyed it.

By Seyyed A A

Sep 9, 2020

It was really exciting for me!

Thanks, deeplearning.ai

By Lohith S P S

Jun 21, 2023

very good course with great real world applications

By Usama H

Feb 7, 2023

The best course, DeepLearning.AI never disappoints.

By Hüseyin K

Dec 25, 2020

Thanks for this course. I learn a lot of knowledge.

By Kuangzheng L

Nov 19, 2020

Detailed instruction. A good material for beginners

By Firefly S

Jul 6, 2020

This is really helpful. Thanks to all contributors!

By Shamanth N

Jul 2, 2020

As i had told before,this specialization is amazing

By MURALITHARAN S

Aug 25, 2020

Excellent: Hands' on & Notebooks, Videos are good

By Ishan B

Dec 6, 2020

Especially week 4 - Word Embeddings was amazing!