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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.

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3326 - 3350 of 5,487 Reviews for Structuring Machine Learning Projects

By Claudia A L G

Jul 31, 2020

Challenging and rewarding!

By Shantanu J

Jul 26, 2020

Great conceptual overview!

By Luan T

Jul 16, 2020

I really love this course.

By Trupen

Jul 13, 2020

Please refer to course 2;)

By Yash G

Jul 7, 2020

Best out of the three yet!

By Ajin J

Jun 19, 2020

information one. I like it

By Isakov A S

May 20, 2020

There were the best qiuzes

By Sunghyun P

May 11, 2020

Very practical and useful!

By Yang M

May 4, 2020

Best course in the series.

By Nguyen T H

Apr 26, 2020

Greate lessons and teacher

By Alfredo P

Nov 19, 2019

keep learning is very nice

By Γιώργος Τ

Aug 14, 2019

Exceptionally insightful!!

By Isuru S A

Aug 1, 2019

Great course for beginners

By kindalin

Aug 1, 2019

Thank you for your lecture

By Wang Z

Jun 25, 2019

Intuitive course. Helpful.

By VIKASH K C

Jun 14, 2019

really awesome course !!!!

By Hao D

Mar 21, 2019

Tricks during development!

By Ganesh P

Mar 20, 2019

Helped me in my interview!

By 杨伟

Mar 13, 2019

A Very Excellent Course!!!

By yousuf o

Mar 1, 2019

It's a very helpful course

By Zhaiyu C

Dec 27, 2018

empirical lessons, useful.

By Wenyu Z

Jul 7, 2018

Great practical knowledge!

By 李和倍

Apr 24, 2018

I need how to set up data

By Marco D V

Apr 14, 2018

Very nice error analysis !

By keshav m

Feb 11, 2018

simply the best!! loved it