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

4.8
stars
48,150 ratings
5,525 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.

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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2776 - 2800 of 5,491 Reviews for Structuring Machine Learning Projects

By MehmetSolmaz

Nov 25, 2017

Very good details on how to start an ML project.

By Michel-Alexandre C

Nov 5, 2017

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By Deleted A

Oct 28, 2017

Very useful information, presented with clarity.

By libaitian7271

Sep 27, 2017

very good! I would like to learn other project,

By 姚佳奇

Sep 14, 2017

Thank you , Andrew Ng, you are a great teacher!

By 田倬韬

Sep 3, 2017

helpful course with intuitive project case study

By Wei L

Aug 27, 2017

very good course! No programming for this course

By Alfian A H

Apr 22, 2021

Very nice explanation. It's very understandable

By Lei W

Apr 5, 2021

This is a very practical course for ML projects

By Srinivasa M

Aug 9, 2020

Excellent examples are discussed by Prof Andrew

By Caroline C G

Jun 8, 2020

This course is pretty good, I've learned a lot.

By ADITYA A

Jun 5, 2020

Learned a lot. Great Course. Thank you so much.

By Vishwanath b

May 28, 2020

It was very intresting to learn and understand.

By John T

Apr 26, 2020

Another great course, bring on courses 4 and 5!

By Irwan R

Apr 16, 2020

Thank you for sharing lots of valuable insights

By Jungyong U

Feb 21, 2020

Always a great course for AI. Thank yo so much!

By Angam P

Jan 18, 2020

Great Course giving great real life experience.

By harsh k

Jul 31, 2019

Nice course to get intuition of how to proceed.

By Duong D K

May 14, 2019

Clearly and improve my mind in Machine Learning

By Wang W

Feb 8, 2019

Thers are a lot of useful skill in this course.

By Subrato C

Sep 9, 2018

I never knew I could learn so much from a MOOC.

By Arturo M R

Jul 29, 2018

A "must" in order to become a real ML scientist

By Plusgenie

Jul 28, 2018

전체적으로 Training/Dev/Test를 명확하게 이해할 수 있어서 좋았습니다.

By Jianhong X

Jul 14, 2018

I find this one most helpful among all, really.

By Youssef Z

Jul 12, 2018

Thank you for your efforts , really nice job :D