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

4.8
stars
48,132 ratings
5,522 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

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.

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!).

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2701 - 2725 of 5,490 Reviews for Structuring Machine Learning Projects

By Huy P

Mar 25, 2018

Really awesome, practical workflow with case study!

By Mohamed R M H

Feb 1, 2018

Thanks coursera for this course.It was very useful.

By Tsang S H

Nov 26, 2017

Systemic workflow is rarely mentioned in papers !!!

By Guillaume H

Nov 14, 2017

Great, the most useful course so far to be honnest!

By Prabin S

Oct 29, 2017

Great Course. Thank you Andrew. Thank you Coursera.

By Shayak R

Oct 29, 2017

Good Practical tips for deep learning practitioners

By 孔燕斌

Oct 19, 2017

It's make me ready for a real deep learning project

By Anders B

Oct 3, 2017

Must watch for anyone doing or planning on doing ML

By Ling G

Sep 24, 2017

Very insightful and I like the pilot project a lot.

By 侯博维

Sep 17, 2017

waiting for the next class, hope it can begin soon.

By golden g

Aug 31, 2017

非常适合甲方\导师\研发团队头目\产品经理, 即时战略类课程, 讲述如何评估模型如何挑选改进方向,

By aitor s

Feb 2, 2022

Nice! One of the most useful course of the program

By Sabana G

Apr 3, 2021

more case study and explaining the choices in them

By צבי נ

Mar 16, 2021

Important course! The others worth less without it

By ARPITA M

Aug 27, 2020

very qualitative information is provided thank you

By ANURAG A J

Jul 12, 2020

Really helpful to better structure the ML projects

By Anton I N B

Jun 12, 2020

Great course with practical machine learning tips!

By Muhammad A

May 15, 2020

Very intuitive lectures and mind sharpening quizes

By Raeed A

May 14, 2020

Amazing course and instructor, very well explained

By Noel J

Apr 13, 2020

Best deep learning course for any AI practitioner!

By KARAN T

Apr 13, 2020

Great advice for working on practical ML projects.

By Alexandre F

Jan 21, 2020

useful insights into how to deal with a DL problem

By Dmytro P

Oct 8, 2019

Great insights from the industry for the beginners

By Michael C

Jul 4, 2019

Another excellent course that I enjoyed immensely.

By Pedro R

Jun 25, 2019

Very good content quality and challenging quizzes.