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

4.8
stars
49,809 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

MG

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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.

NI

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Awesome course as always. The course teaches real world practical aspects of how to get started and navigate in the real world projects. The guidelines are actual learnings from years of experience.

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3776 - 3800 of 5,708 Reviews for Structuring Machine Learning Projects

By Masoomeh G

Jan 13, 2020

Very useful tips.

By Shilong L

Jan 7, 2020

very good courses

By Sumit R

Dec 25, 2019

Fabulous material

By Huynh B H

Dec 14, 2019

This is very good

By Dhiraj H

Dec 2, 2019

Awesome as always

By Thomas M

Nov 27, 2019

Fantastic course.

By 董博文

Oct 22, 2019

对机器学习项目的开发很有指导意义。

By speagleYao

Sep 15, 2019

a good experience

By Luis R M B

Aug 4, 2019

Excellent course!

By Jayesh R V

Jun 12, 2019

Very informative.

By Qiusi L

May 29, 2019

excellent course!

By 任杰文

Feb 17, 2019

It's great for me

By Ricardo N d R B

Dec 30, 2018

Excellent course!

By 朱荣鑫

Dec 22, 2018

as good as before

By ignacio v

Sep 18, 2018

Incredibly useful

By Tanuj P

Aug 28, 2018

Very good course!

By Yue G

Jul 23, 2018

Very useful tips!

By huy n

Jul 22, 2018

very practical :)

By Kunal V

Jul 12, 2018

brilliant course!

By shengyuliu

Jun 25, 2018

超实用的机器学习迭代优化方法,赞。

By Ankit S

Jun 17, 2018

Good Knowledge :)

By Sicen D

Jun 5, 2018

Very Good Course!

By Johnson

Mar 11, 2018

Excellent course.

By Nguyen C T

Feb 12, 2018

Very interesting!

By 書瑋張

Feb 7, 2018

Very Good Course!