Chevron Left
Back to Structuring Machine Learning Projects

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

4.8
stars
48,116 ratings
5,520 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.

TG

Dec 1, 2020

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

Filter by:

2751 - 2775 of 5,487 Reviews for Structuring Machine Learning Projects

By Vaibhav B

Nov 17, 2017

This is the most useful course I have taken on ML

By pablo s

Sep 22, 2017

Great to see real world problems and limitations.

By Chao ( Z

Sep 22, 2017

Helpful for my PhD research! Valuable experience!

By Sl4er

Sep 10, 2017

老师讲的非常清晰易懂。对实际项目很有帮助,以后真正做项目后估计要经常来查看视频,用来指导我的实践!

By 林远泽

Aug 22, 2017

I learned a lot from this course, thank you a lot

By Gokulraj U

Aug 19, 2017

Adequate Knowledge on End to End Deep Learning!!!

By Jorge C C S

Aug 24, 2021

all courses of this specialization are very good

By Utku M T

Jul 23, 2021

Important applied ML concepts explained clearly.

By Susan M

Jun 1, 2021

Challenging and useful - presented with clarity.

By Muhammad U J

Mar 23, 2021

Excellent course with a lot of practical advice.

By José b

Jan 12, 2021

Excellent coverage of a very practical material!

By Aishik R

Aug 14, 2020

Delivers exactly what it is supposed to deliver.

By Simbarashe M

Aug 8, 2020

now l can start implementing my research project

By UnniKrishnen N

Jun 13, 2020

Amazing course. Questions can be a bit different

By Rajkumar P

Apr 15, 2020

Very useful course for my knowledge improvement.

By Patrick B

Oct 11, 2019

a lot of examples and i love the simulator part!

By Varun P

Apr 11, 2019

A very helpful course while working on Projects!

By Alam N

Oct 14, 2018

Thanks to Professor Andrew Ng and Coursera Team.

By Liz M

Aug 4, 2018

Very useful ! I recommended it to my colleagues

By Jim F

Jun 15, 2018

Hey this is fun and the Heros talks are awesome.

By 朱琪超

Mar 27, 2018

Wonderful! Thank U so much.I have learned a lot.

By Vladimir

Jan 29, 2018

A very good strategical approach to AI projects.

By Matt S

Dec 27, 2017

We need this to be a DL project leader in future

By MehmetSolmaz

Nov 25, 2017

Very good details on how to start an ML project.

By Michel-Alexandre C

Nov 5, 2017

V

e

r

y

g

o

o

d

h

a

n

d

s

o

n

c

o

u

r

s

e

,

e

x

t

r

e

m

e

l

y

h

e

l

p

f

u

l

,

t

h

a

n

k

y

o

u

!