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

4.8
stars
46,193 ratings
•
5,280 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

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!).

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.

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3151 - 3175 of 5,226 Reviews for Structuring Machine Learning Projects

By 李珂

•
Nov 16, 2017

Very useful. Thanks Andrew!

By Brad H

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Oct 24, 2017

Fantastic course, as always

By Katharina K

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Oct 20, 2017

The material is invaluable.

By Luis M C S

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Oct 7, 2017

This was extremely valuable

By Mustafa S

•
Oct 1, 2017

Very interesting and useful

By Apurva

•
Sep 13, 2017

Awesome material! Loved it!

By Ievgenii K

•
Aug 27, 2017

I very love its assignments

By Rafael O R R

•
Apr 7, 2021

well explained as always!!

By Kenneth

•
Mar 11, 2021

Plenty of practical advice

By EsmailFakheriAlamdari

•
Jan 22, 2021

It was awsome, thanks alot

By Tun Y M

•
Dec 29, 2020

I really love this course.

By Leonardo S N

•
Dec 26, 2020

Super, extremelly good !!!

By Claudia A L G

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Jul 31, 2020

Challenging and rewarding!

By Shantanu J

•
Jul 26, 2020

Great conceptual overview!

By Luan T

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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

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