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学生对 提供的 Natural Language Processing with Probabilistic Models 的评价和反馈

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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....



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).


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!!


101 - Natural Language Processing with Probabilistic Models 的 125 个评论(共 242 个)

创建者 Luca P

Aug 23, 2020

I am satisfied with the instructor and the materials offered| Thanks

创建者 Vladimir B

Jul 21, 2020

Fantastic course. I had so much fun learning about these important concepts in NLP.

创建者 Yun-Chen L

Nov 18, 2020

In this course, we go deep in NLP, and do more application with assignment. Grate!

创建者 Rafael L

Sep 26, 2020

Really great content and exercise implementing all calculations to Model training.

创建者 Muhammad S

Jul 26, 2020

In my opinion, the section about Hidden Markov Models needs more detailed videos.

创建者 Lossan B

Aug 5, 2021

Very interesting material with lot of opportunities for practice.

Great Course.

创建者 Piotr B

Sep 13, 2020

Practical approach to real-world examples, best alive online course about NLP!

创建者 Bradley W

Jul 6, 2020

exceptional course, will be able to apply some of these learnings to my job :)

创建者 Divya S

Sep 17, 2021

T​he content is very good . The programming assignments are the best part :)

创建者 Maksym H

Aug 23, 2020

Great course, learned a lot. In particular,

I learned some new NLP algorithms

创建者 Pratik D

Jul 21, 2020

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

创建者 Maria S X C

Jul 20, 2020

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

创建者 Babak M

Jul 7, 2022

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

创建者 Mridul G

Nov 12, 2020

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

创建者 Ssemambya O

Sep 27, 2020

A really great and highly practical Natural Language Processing course.

创建者 Ahammad U

Jul 30, 2021

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

创建者 Utku T

Feb 24, 2021

Awesome course! I learned many theoretical and practical techniques.


Apr 4, 2021

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

创建者 Mohan N

Mar 1, 2021

Excellent coverage of topics, well designed programming exercises

创建者 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。

创建者 Anantha P

Jul 15, 2020

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

创建者 Magdalena H

Aug 18, 2021

V​ery instructive lectures and labs. Challenging assignments.


Sep 11, 2020

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

创建者 Seyyed A A

Sep 9, 2020

It was really exciting for me!


创建者 Hüseyin K

Dec 25, 2020

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