Chevron Left
Back to Structuring Machine Learning Projects

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

4.8
stars
49,882 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.

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!).

Filter by:

1826 - 1850 of 5,719 Reviews for Structuring Machine Learning Projects

By Bogdan G

•

Mar 12, 2019

Very useful course on how to treat train/dev/test sets, with very interesting assignments.

By rajat m

•

Jan 4, 2019

a very practical course about dealing with the day to day eperience in ml related projects

By Stephen R

•

Aug 10, 2018

Bias and variance are tough to understand, but very important when in the real world. Thx!

By Koshlan M

•

Aug 6, 2018

Excellent Actionable Advice on Strategic Approaches For Improving Machine Learning Models.

By Antoine R

•

Apr 28, 2018

the simulators are a brilliant idea, so sad we can't practice after the course has closed!

By Siva H S

•

Jan 23, 2018

Great Insights. Will be definitely useful for anyone who wants to implement deep learning.

By David H C

•

Nov 23, 2017

I really enjoy this courses... theres a lot of good tips that you can put in practice ASAP

By Harshavardhan S

•

Aug 20, 2017

An extremely useful course to practice, debug and build good deep learning based systems !

By Marcilio M

•

Jun 12, 2024

Excellent condensed knowledge shared that would otherwise take years to learn and master.

By Ambrish K

•

Jan 21, 2022

Concepts were explained in detail by Andrew sir. Quizzes were awesome. Loved this course.

By Ayush S

•

Sep 30, 2021

Great course, if you find this course helpful then do check out the MLOps Specialization.

By Pei Y L

•

Jan 8, 2021

Really thankful to Andrew and the crew for providing this invaluable learning experience.

By Raushan K

•

Sep 23, 2020

It helps to rethink about my machine learning projects and how I can better structure it.

By Yeshwanth K V S

•

Aug 9, 2020

This is the most important and useful segment (relatively) over the entire specialization

By Сычев Д А

•

Jun 23, 2020

Great Thanks to Anrew for running such courses and providing real expirience to everyone!

By NUKALAPATI S U

•

May 24, 2020

I am glad that I got a chance to learn more about machine learning with good instructors

By Renato d C M J

•

Apr 27, 2020

Very practical tips and scenario cases. Things that lack in many courses around internet.

By Marco M

•

Jan 30, 2020

Very good insights about how to optimize and debug real world deep learning applications.

By Murali M C

•

Oct 9, 2019

Andrew explained the concepts well and provided so many tricks and tips to resolve issues

By Renzo B

•

Sep 26, 2019

Very helpful and insightful. I will apply it in structuring my machine learning projects.

By Brendan F

•

Sep 4, 2019

Really insightful course on parts of the ML process I would not have thought to look into

By Dmitry K

•

Aug 24, 2019

Excellent course, that teaches to think like a deep learning researcher and practitioner.

By Toi D V

•

Mar 26, 2019

It is very intuitive and will help to accelerate the development progress in real project

By Mike I

•

Mar 10, 2019

Excellent guide on how to get operations started correctly and keeping on the right track

By Shriharsha K

•

Dec 22, 2018

Lectures were really helpful because they were very inclined towards real world problems.