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

4.7
stars
1,726 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. This Spe...
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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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251 - 275 of 294 Reviews for Natural Language Processing with Probabilistic Models

By Leo H

Mar 4, 2024

Feels a bit outdated in times of big foundational models, but some concepts still useful to gain fundamental understanding.

By Hernan J

Nov 4, 2020

Esta especialización junto con la de Deep Learning se complementan y es son más claros los conceptos y prácticas, gracias!

By Ana C L O

Sep 20, 2024

very well explained, but i think the assignments are too easy, because everything is done. It could be more challenging!

By Daniel R

Sep 1, 2022

Quite a lot of the coding is done for you, but otherwise a great course to give an overview of NLP with prob. models.

By Daniel W

Mar 25, 2021

The tutor sometimes pass the slices too swiftly. I hope that he could wait 2-3 seconds after finishing speaking.

By Michael G A

Oct 21, 2023

The explanation for back prop and their equations in the assignment were very lack luster and almost misleading

By Sandeep V

Oct 2, 2020

Sone Quiz should also be there. Assignments can be solved by python knowledge an following the instruction

By Gopal M

Sep 5, 2020

Assignments were incorrect.

Lot of content was squeezed in the last week. Even spread would be ideal

By Aung Z P

Jul 14, 2020

I love the way the instructor teach and the course design which is made to be simple but effective

By Aman M

Sep 14, 2023

In week 4, the formula for the partial derivative of the cost function wrt b2 is not mentioned

By John F

Feb 19, 2022

great material and presentation, there are a few typos here and there but not a big deal

By Mounir H

Dec 1, 2020

I didn't like weeks 1 and 2 too much but I liked week 3 and I really liked week 4.

By bdug

Apr 5, 2021

I liked the lecture, very well prepared. Only the part on metrics was a bit short

By Vladimir V

Jul 20, 2020

This is a good course but I would like to see more emphasis on the mathematics.

By Manuel V B

Apr 11, 2021

Great course, but the last week felt a bit messy with submission evaluation.

By Pedro P

Feb 12, 2024

Algebra could be explained more in depth, but all in all, good course

By Sophie Z

Jan 3, 2021

Not sure if it is on purpose, but W4 labs have repeating content.

By Vi T T

Dec 4, 2021

wonderful course, I learned the fundamental of NLP. Many thanks

By John

Sep 1, 2022

Good content and presented in an easy-to-learn fashion.

By Jinsong T

Jun 8, 2021

Too basic and going at too slow a pace

By Esakki p E m

Apr 11, 2021

excellent Material & teaching

By Roshan k

Aug 6, 2023

week 2 need bit more help

By AVIJIT J

Aug 16, 2021

Good, very good.

By Randall K

Apr 14, 2021

great course