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).
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!!
By Jian G•
this course is well-designed. It incorporates all factors that make a successful online course. bitesize video, easy to understand, exercise notebooks, etc.
By bob n•
Nicely broken into digestible chunks. Labs well done, not too easy, and too too frustrating. Material presented clearly and in (again) nice small steps.
I'm really thankful to the professors for sharing there knowledge and experience and creating this excellent course. I have learnt a a lot. Thank You !!!
By Abanoub Y•
A great course in the very spirit of the original Andrew Ng's ML course with lots of details and explanations of fundamental approaches and techniques.
By Ivan V S•
I grade 5 stars, but take in account, that this course is very specific. It provides real basics of NN and NLP and it is more fundamental than apply.
By Baurjan S•
Totally enjoyed it. I took a Deep Learning course a couple of years ago and in some respect, it was a great refreshment form two years ago. Thank you!
Course well structured. SBOW very well explained and registered firmly. Word embeddings explained very well. Overall very happy from the learning’s
By Long H T•
This course is amazing! I could not know that I can learn so many interesting things! I am so happy to take the next course in the specialization.
By Alex M•
Es extenso, pero super interesante la forma de aprender por coursera, cbow model es super chevere. aprendí también, temas de toquenizar textos.
By Ankur G•
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•
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•
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•
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•
Very intresting and effective way of studing NLP . Totally amazing and 10/10 for the clearity of lecture delivery and video presentation .
By Anshul B•
I liked this better than the 1st course in the specialization. Instructors cover some real fundamental concepts and techniques in NLP
By Vedika P•
Brilliant course. Very enriching content and so very well explained. Challenging assignments made me explore each concept in-depth.
By FERNANDO D H S•
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•
Amazing course. Starts from the basics and then teaches concepts in-depth. The exercises are also very elaborate and well thought.
By Moustafa S•
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 RAJ B S 1•
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•
All my doubts about word2vec models were cleared, after taking up this course. The instructor's diction was easy to follow.
By Aftab K•
Very well presented with the right level of detail and emphasis along with complementary programming exercises.
By Bernard E•
Great coding examples and exercises! All functions coded from scratch, no ML libraries used, which is great.
By Thomas L•
Exceptional. Second only to Andrew's course. The coding assignment's were the perfect level of difficulty.
By Dustin V•
Excellent primer material for probablistic NLP approaches. Sets the foundation for deep learning with NLP