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

4.8
stars
49,723 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

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.

ED

Aug 22, 2020

Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.

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1126 - 1150 of 5,697 Reviews for Structuring Machine Learning Projects

By Aldo A A

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Dec 26, 2019

Professor Ng is a great one! I learned a lot from this course and for sure I will use the knowledge in my future projects!

Great course!

By Aniruthya

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Dec 16, 2019

Coulda have used a wider variety of examples and real life use cases to explain situations that may arise in the course of the project.

By Sai P

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Sep 20, 2019

Nice to see some easy to look for tips and places when we typically get stuck and stare at a blank wall in ML/DL problems. Thanks a lot

By Anne G

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Aug 30, 2019

Thank you very much again for the great learning in this course! It's very well organized and taught! Very useful. Have a great day!

By Guru C B

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Jul 22, 2019

Excellent course. This as said in course is unique one and enables one to learn from others experience (akin to transfer learning :) ).

By Dustin

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Apr 20, 2019

Nice structure and organization. Some of the assignments are really tricky, and its good for me to revise some of the course materials.

By Lakshya G

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Dec 25, 2018

I used to have a lot of related doubts and because of this course I've been able to think them through myself. Thanks a lot, cheers! :)

By Prathiba R

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May 15, 2018

It has more practical tips on working through a machine language problem which could be otherwise only learned from years of experience

By Chen Y

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Sep 6, 2017

Many practical and useful techniques included in this course, which means you get a boost for the real world applications. Exceptional.

By Andre G

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May 23, 2023

The most exciting course connected with deep learning and project management! High quality of explanation and good practical examples.

By Nikhil V

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Jul 29, 2020

Developed better insights on how to structure and go about solving Machine Learning problems with proper structure and systemetically

By Zainullah K

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Jul 11, 2020

Andrew NG is one of the best teacher in the field of AI. If you really are interested there is no where else to go and seek knowledge.

By Ankit S

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May 6, 2020

Really good to gain some of the practical knowledge that goes into applying machine learning and deep learning. This course is a must.

By Kerem K

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May 3, 2020

It is beneficial in terms of evaluating the first results of a ML model, then what step to take next or even how to design your model.

By Erick A

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Mar 31, 2019

This is a very very interesting course since it discusses a lot of subtleties one deals with when developing machine learning projects

By Mathew S

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Mar 28, 2019

Excellent high level discussions. I am thankful I completed this course before getting too deep into my current deep learning project.

By Carl G

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Jul 6, 2018

Fairly easy course, but important topics to consider when applying MLReally appreciate the real world perspectives Andrew Ng provides.

By Hasan B A

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Mar 30, 2018

Loved the pragmatic, real-world focused material and the case study assignment (much more effective than a quiz with random questions)

By Jungwon K

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Jan 14, 2018

Quite harder than I expected. However, I think it's the most valuable course out of all 5 courses, which most people miss to look for.

By RAJEEV B

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Nov 20, 2017

Many of the practical considerations while doing a project are taught in this course. This type of material is rarely found elsewhere.

By Ugo N

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Oct 16, 2017

I like how the homework assignments are structured, they get you thinking like an engineering solving a real world problem. Thank you!

By Xavi R

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Aug 24, 2017

Great and very useful course with lots of tips and clues on how to improve applying machine learning to several different applications

By Quan D

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Aug 22, 2017

I've joined ML projects, I also made some mistakes like what mentioned in this course. this course really helpful to me, Thanks a lot,

By Arun P R

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Apr 26, 2020

Best course to know more insights about ML projects and how to manage it. It got lot of insights about real life ML project problems.

By Tanbir S

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Mar 31, 2020

The course content is not what I expected. It surprised me pleasantly. It was filled with a lot of practical strategical suggestions.