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Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI

4.8
stars
49,769 ratings

About the Course

In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader. By the end, you will be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This is also a standalone course for learners who have basic machine learning knowledge. This course draws on Andrew Ng’s experience building and shipping many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

NI

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Awesome course as always. The course teaches real world practical aspects of how to get started and navigate in the real world projects. The guidelines are actual learnings from years of experience.

SV

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This is the knowledge in which we will get from lots of experience only, but the andrew has shared in this course which might help us in future by saving a lot of time through this course experience

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5626 - 5650 of 5,702 Reviews for Structuring Machine Learning Projects

By ni_tempe

Sep 13, 2017

the course doesnt have any programming assignments. I feel that these two weeks should have been added/combined with first 2 courses. The knowledge that is provided is useful, but it is mainly useful once you are an expert at building neural networks and models. I feel that this course should have been the last course in the series instead of the 3rd course

By Markus B

Sep 6, 2017

Just a few videos without any programming excercise or a bunch of rather broad statements that are not really tried out in programming examples are not really worth the money and more importantly the time. The first two courses are good, this is definitely a drop in terms of quality. This one needs more meat on the bone.

By Jim M

Aug 25, 2018

This had the potential to be a very good course, but fell far short, in my assessment. It probably should have been rolled into the previous course as a couple of additional lectures.

Either that, or it should be expanded greatly, with more practical exercises to solidify the concepts taught.

By Ted S

Dec 19, 2017

Doesn't look like it was checked for quality control (e.g. Videos with bad takes), Ng rambles sometimes so that it seems as if he is filling time, there are no knowledge checks. This course wasn't ready. Case study flight simulators are good, but poorly introduced.

By Tiffanie B

Oct 18, 2019

The teacher seemed to not have a clear idea of what all he needed to say in the video and verbally flailed somewhat, and many times seemed to be adding things purely for the sake of padding video length. Don't waste my time. The content was mildly useful.

By Goudout E

Jul 4, 2022

I give only 2/5 because of the quizzes being waaay too debatable, and sometimes frankly inaccurate. Also, many questions and answers also still have typos (missing letters, missing WORDS even).

There's lots of interesting things to learn still, thanks!

By HAMM,CHRISTOPHER A

May 7, 2018

I need a lot more practice than is offered here. I would also strongly prefer if the instruction followed some of the best practice laid out in books such as "How Learning Works" because I have difficulty following the instructor's line of reasoning.

By Leonardo M R

May 27, 2018

Answers in the multiple choice seems incomplete for me, I don't necessary agree with the answers presented unless more detail on some context (that I don't think we should assume) is present for the questions.

By Пильгуй В Л

Dec 3, 2019

This course is good, but here is so few practice. This is hard to understand without practice. Looks like I didn't understand many problems in this course. Need more explanation, more samples, more practice.

By David L

May 22, 2018

Zero programming assignments, but simple quizzes that will make whatever you just learned as fleeting as the morning dew on a hot summer's day. Too bad, because otherwise the material is quite interesting.

By Mahesh B K

Apr 30, 2020

Although important, i think this should be the last course in the specialisation as it covers the harder parts of handling various errors and their causes before knowing how these models are trained

By Nikolay B

Oct 26, 2017

the best course in so far, not that much theory but a lot of "insides" from the field. However, still no practice, Im studying for 3 month and still have no idea how to create a real application.

By Bradley D

Jun 15, 2019

There's theory, but, without practice and application in my opinion. I did not like it because it seems to be easily forgotten seeing that I did not associate with practical excercises.

By Matthew J C

Mar 7, 2018

Most (if not all) of the information covered in this module was covered, perhaps with a little less depth, in the previous modules. However, it's probably worth repeating.

By John H I

Sep 21, 2018

Poor video editing. Not enough graded material to feel confident that I fully understand the concepts proposed in the lectures. Definite step backwards from courses 1-2.

By Aayush S

Jul 19, 2020

Could be better in terms of the concept taught. A course I would prefer as the last one in the specialization. Week 2 Material is good but whole course is too slow.

By Mikael B

Sep 13, 2017

This course had a much less ambitious scope than the previous two courses and I think that the programming assignments are very important to help me learn properly.

By Artem M

Apr 23, 2018

Too much information in too little time. Additionally, all information is mostly practical, and having no real exercises makes it hard to remember all the details.

By Haim K

Jul 3, 2020

The course should be much shorter (e.g. half a week). The messages are pretty straightforward and could have been passed in one quarter of the time.

By Iscru-Togan C T

Dec 12, 2020

The videos are to long and it presents some topics purely hipothetical. You basically spend a couple of hours without developing any useful skill

By everglow

Jan 27, 2019

I still feel a little confused when I have so many options to improve my NN. This course is less clearly taught than the two former to this one!

By Saad K

Sep 12, 2017

I found it quite verbose... Could have easily been shrunk and fit inside the other course... Don't think it needs a separate course for this

By Stephen E

Jul 30, 2022

The quiz questions were often vague enough that it was easy to justify wrong answers using specific reasoning from the lessons.

By BO F

Jan 14, 2022

The exam's some question aren't consisted in the course. It's a bad learning experience compared with the previous two course.

By Matías L M

Oct 29, 2017

Really bad course. Even the professor does a good job at explaining everything, it does not seem to be a technical course :(