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Natural Language Processing with Classification and Vector Spaces に戻る

deeplearning.ai 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

4.6
3,521件の評価

コースについて

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....

人気のレビュー

SK

2020年7月17日

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.

MN

2021年5月24日

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

フィルター:

Natural Language Processing with Classification and Vector Spaces: 551 - 575 / 724 レビュー

by Błażej M

2020年9月10日

Great course! What I'd really like to see more is how the embedding database is build (it was mentioned how it might be done but there was no exact explanation)

by Brian M

2020年9月14日

Videos were very basic (and short), but the workshops and assignments were thorough yet well commented (in code) allowing for quick progress and learning.

by Ravi V K

2020年7月20日

I loved it overall! here are some considers...some more video explanations and references would have made this more interactive and game changer

by Swapnadeep S

2020年7月17日

Its an awesome course, but it would be nicer if students can learn to code on practical projects instead of writing everything just from scratch

by Akshay S

2021年8月14日

Nice content and easy explanation. There are a few mistakes in the programming assignments which should be corrected. Overall liked the course!

by Andrea D

2021年10月5日

Exceptionally well conduceted course, but I got to say that the last two weeks are weaker than the first two in terms of depth of explanation.

by Andrés M C

2021年5月18日

The way the course is evaluated could be different, because it is too literal and sometimes you get to the same answer doing different things.

by Randall K

2021年4月2日

I thought the HW was a bit too easy. I understand this is MOOC, but perhaps some optional assignments that don't have as much templated code.

by vijaya k e

2022年1月16日

Overall, the course is good. But, t​he last assignment of using KNN means with LSH is a bit difficult to understand. That needs improvemnt.

by Huziel E S

2021年8月13日

In general good. The only problem was that some notebooks have typos, which makes the exercises a bit confusing. In particular in week 4.

by Abhinav G

2020年8月7日

The course content was well planned and assignments were good. But due to several errors in videos and grader issues, giving a star less.

by Vincent H

2021年12月31日

Course content is good, however, there are a number of bugs and errors in the quizzes and assignments that may throw people off.

by Yuhao W

2020年8月16日

Last section LSH is a bit difficult, please add more details and extend current videos length to make LSH understood better.

by Kirill T

2020年7月11日

There were some unexplained moments (like PCA implementation in the 3rd course), but overall the course seems good.

by Gianmarcos E

2020年11月26日

Me ayudó mucho este curso para entender como programar en python enfocandome al procesamiento del lenguaje natural

by Alberto P

2022年3月12日

There were some files in the assigments that had a lot of bugs. But the rest of the course was very good.

by Vaibhav O

2020年7月3日

Some of the concepts are too basic in the course and proper emphasis on vectorized operations is lacking.

by Shahin Z

2020年10月7日

Very nice. (Would be even better if you can iron out all the little typos in the labs/assignments.)

by Musa A

2020年7月1日

Course content was OK, but the instructer's performance is below average. I am sorry to say that.

by Kamal N S

2020年9月29日

Informative course. Notebooks are well explained and very helpful to learn many concepts of ML.

by Huynh N A

2021年5月17日

lab and assignments should be to understand and practice the theories, not programming skills

by Nick K

2020年7月29日

good one! I would have done more complex tasks as assignments. Rather than that - very nice!

by Saúl R

2021年9月4日

Maybe you could be more rigorous, like in week 1 with the optional derivation of equations

by aydinakgokalp

2020年12月9日

Course Material needs to be improved. But overall good course and teaches the way for NLP.

by DARREL N

2020年7月8日

Excellent Course that provides detailed insights on usage of NLP and all of its concepts