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

4.8
stars
47,200 ratings
5,421 reviews

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

AM
Nov 22, 2017

I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

JB
Jul 1, 2020

While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).

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5201 - 5225 of 5,380 Reviews for Structuring Machine Learning Projects

By Marco L S

Nov 28, 2019

Useful but not that much for assigning to those topics a course of their own.

By Flavius S N

May 17, 2018

First week is a little bit boring for those that did Machine Learning course.

By R. S S

Feb 10, 2018

A good course though some programming exercises would have made this better.

By Duncan K M

Nov 19, 2017

I like coding projects and hands on material, this was heavy on the videos

By Milton R

May 28, 2020

The Course would be bit more Interesting if it some programming insight.

By Rohan K

Feb 1, 2019

Seemed lots of similar information which was covered in previous courses

By Greg H

Sep 15, 2017

It would be better if we could try coding and experimenting these ideas.

By Joshua P J

Jun 23, 2018

I fear this material won't challenge many learners. Feels like review.

By Anusha P

Jun 23, 2018

No practise sessions, just theory unlike others in this specialization

By Moustafa A M

Dec 22, 2017

No details about some implementations how to implement this techniques

By ANAND P

May 30, 2020

It was awesome but not one of the best courses in the specialization!

By David F

Sep 22, 2017

Good insights, but not much material and no programming assignments.

By Ondrej S

Jul 21, 2021

U​sefull but only theorethical course without practical excercises.

By Mtrix.Blackspecter

Nov 3, 2017

It was rather disappointing because it didn't meet my expectations.

By Sébastien C

Aug 6, 2020

Covers interesting concepts at length. Videos could be shortened.

By Lambert R

Apr 16, 2018

Dommage qu'il n'y ait pas de TP dans ce cours (seulement 2 quizz)

By Mike T

Jul 24, 2018

I wished there were exercises besides the quizzes in this course

By Anatolii B

Oct 1, 2018

some quiz questions are poorly formed, a little disappointing.

By Emmanuel D M

Apr 21, 2020

I thini the course needs more quizzess and a program exercise

By C. I

Aug 17, 2017

Very short, not many practical examples. Lots of repetitions.

By W S

Aug 31, 2019

Video lectures tend to be repetitious, and can be confusing.

By Anthony M

Oct 23, 2017

Practical knowledge, but I would prefer more hands on coding

By Jiheng R Z

Sep 9, 2017

Quite a few errors and ambiguities in the practice problems.

By Zingg

Nov 16, 2017

The topics are interesting however the content is off par.

By Axel G

Jun 14, 2020

Good content, but very focused on Computer Vision and NLP