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

4.8
stars
49,631 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

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.

MG

Mar 30, 2020

It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.

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551 - 575 of 5,688 Reviews for Structuring Machine Learning Projects

By James M

Feb 7, 2018

This course offers great insights on building a ML project, which are also applicable in different types of projects in real world. Also, this is truly distinguish from other deep-learning courses on internet.

By mitra_00

Jan 19, 2020

Learned about how we should manage our DL project and what to priotize first, these are something one learns after he has gone through such problem, so it was nice to learn about it beforehand from the expert

By Andrew B

Aug 7, 2018

I thought this course was very helpful in analyzing neural networks. While I did enjoy the quizzes, I wish there were more to test my knowledge on whether it is more quizzes or actual programming assignments.

By Minh P

Aug 16, 2017

Very practical, simple short course!

Very good materials that can generalise how to build a good ML model.

Very handful exercise

Nice interview from experts

This is a MUST TRY course, because it's too BEAUTIFUL!

By Username U

Jul 29, 2021

This course was great! This course details various strategies behind creating a machine learning project, as well as the theory behind those strategies. This course is a great mix of practicality and theory!

By Upesh N

May 19, 2021

The most informative course that i have ever encountered in this field. I am training deep learning algorithm for my thesis, after taking this course I am able to do a lot of things that improved my network.

By Sergio A D C A

Apr 20, 2021

It was very useful for me to learn about posible sources of error when deploying a machine learning model, and how to fix them as well as improve it with artificial synthesis or transfer learning techniques.

By Marn Y T

Oct 27, 2019

As a college graduate who took ML classes in college, this course is a lot more useful in terms of developing an intuition toward iterating on ML projects. The interview with Karpathy is the cherry on top :)

By Yash B

May 2, 2020

This was truly amazing! I mean an entire course on the subtleties of gaining skills that we can actually apply in real life is really needed. I am super glad I took this course! Special Thanks to Andrew Ng!

By Marco A

Oct 4, 2018

This is a quite different class. It's less math, less formulas but there is so much to learn from the experience of Professor Ng, a whole lot of best practices to follow and tricks to learn. Great contents!

By Dawid D

Aug 9, 2018

Great and unique course! I think that such topics should be a part of any professional ML course.

Having said that, it would be appreciated if the sound volume had higher expected value and lower variance :)

By LZANE-李泽帆

Oct 22, 2017

This course gives me an overview sight of the whole process of machine learning project. Not only I know about the technical things, but also know how to structure and point out the position of the project.

By Martin J

Aug 17, 2017

A lot of good thoughts on working with models. I think just getting your hands dirty with some models would help as well. :-) Would be interesting to set up a model to do some difficult tuning exercises.

By Dushyant R T

May 14, 2020

This course gives you an experience, which otherwise you'd take tens of years to garner. The simplicity with which Andrew explains the challenges is commendable as well. Thank you for teaching this course.

By Devavrat S B

May 10, 2020

It is a really good course to build your intuitions and decision making capability for your machine learning projects, I really like the way Sir Andrew Ng relates all the concepts with real world examples.

By Santiago I C

Dec 16, 2018

Un curso que no se encuentra en ningún sitio. Necesario para estructurar proyectos (en todos sitios te enseñan a hacer modelos pero en pocos te enseñan a estructurarlo bien y a saber cómo y en qué mejorar)

By Lucas O S

Dec 12, 2017

Some glitches in the videos, but the content is great. Andrew is an awesome teacher and these are really unique tips coming from his vast experience, it is hard to find similar content elsewhere on the web

By Guilherme

Dec 5, 2017

The discussions on practical guides about designing deep learning systems, dealing with data, bias variance trade-off, and how to organize projects to optimize time usage are much needed for practitioners.

By Terrence G

Oct 12, 2017

Practical advice for new students when tackling a real-world ML project and how to approach to optimize a model's performance. The quizzes provide good examples of use-case scenarios and decisions to take.

By Juan P A C

Sep 23, 2020

I think the simulations were great. They give an excellent approach to real life enterprise scenarios where you have to take important decisions. Great compliment for the first two courses of the program.

By Harshal R P

May 31, 2020

Step by Step approach to structure Your Machine leaning project from scratch. The cherry on the cake is simulation quit provided at the end, helps quite fast to get the practical approach to the problems.

By Anurag C

Dec 5, 2019

This course is very helpful to fine tune our machine learning and our deep learning projects and probably more input to the different types of transfer learning examples could have been much more helpful

By Mustafa A

Dec 1, 2019

I love it. it was very helpful but I think if it was an assignment "programming assignment" with some issues "mismatch, incorrect labeling, .. etc " and use those techniques it would be much more helpful.

By Mohamad K

Dec 2, 2018

Its most great and important course ever, please try to listen very carefully to Prof Andrew, he tell you about each and everything you need to become master in ML. Many thanx for Prof Andrew and COURSERA

By Sudip B

Dec 4, 2020

I really enjoyed taking this course. The use cases and practical strategies to the problems were really insightful. I'm really excited to apply what I learnt from this course on my own personal projects.