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

4.8
stars
49,877 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

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.

MG

Mar 30, 2020

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.

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1276 - 1300 of 5,718 Reviews for Structuring Machine Learning Projects

By Arun Y

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Oct 24, 2017

This course made me more skillful in deciding the factors to improve the performance of my model without wasting much time.

By Vincent L

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Aug 26, 2017

Very useful to have clear guidelines to deal with datasets, how to synthesize them eventually and clarify transfer learning

By Nnaemeka N

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Mar 22, 2023

This course has given me the tools I need and has given me the confidence I need, to take on any machine learning project.

By v n k

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Jul 30, 2021

This course gives you immense knowledge, regarding all the strategies that are required to, make a ML project successful.

By S M

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May 1, 2021

Great course! A quick way for getting direction, tips and tricks when trying to work through machine learning problems. :)

By Pratik U

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May 17, 2020

it was a great learning experience . the questions in the quiz were quite detailed and tested every aspect of our learning

By Kartikeya G

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Apr 5, 2020

This part of Deep Learning Specialisation is very helpful because this help us in resolving our problem related to dataset

By Sumedh K

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Jul 14, 2019

Amazing tips and tricks to fine tune and improve the Machine Learning models. And as always Andrew Ng does not disappoint.

By Damianos M

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Mar 11, 2019

Very interesting course!! It had many practical and important insights to deploy deep learning for real-life applications!

By alrojas68

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Nov 28, 2018

Very useful aproach to think about my next project on the ML Industry. I can see saving me a lot of time during a project.

By Yan-Jen H

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Sep 9, 2018

Great course!! Very useful tips for analyzing the model, and can find the more promising directions to optimize the model.

By Pavel K

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Mar 3, 2018

I expected more practical exercises. The "Course 3" ended up more theoretical than practical. Maybe I'll rewatch it later.

By Prasanna K

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Nov 25, 2017

Awesome course. Videos, Notes and Assignments really solves the purpose. Looking forward to do more courses from the team.

By Achen

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Oct 28, 2017

Useful_knowledege_and_rarely_taught_in_other_books/blog/college_classes_(Somehow_I_can't_type_spaces_in_this_comment_zone)

By Derek H

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Jul 18, 2020

This course has been useful for me immediately in the workplace, for getting things done and showing results for my work.

By Zobov S

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Jul 3, 2020

Also the amazing course from specialization. A tad less exciting than previous ones, but still very useful and practical.

By shubham k

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May 31, 2020

This course is excellent. It clears all the concepts from scratch. Thank you Andrew ng for giving such wonderful content.

By Ankush P

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May 29, 2020

A must-do course for anyone who is looking to participate in a competition or creation a model for real-world application

By Prosenjit C

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Sep 15, 2019

Great course, helped me to really understand the details on how a Deep Learning Project should be executed at every step.

By Abhishek B

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Sep 4, 2019

As always, great work by Andrew and team. Got to know many new concepts like Multi-task learning and end-to-end learning.

By Milos V

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Jul 30, 2019

Andrew was on the top level as usual. Just for somebody interested in more of such advice: look at his "ML Yearning" book

By punit v

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May 24, 2019

By attending these lectures years of learning which only could have possible with experience can be learned in few hours

By Jiayang T

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Apr 19, 2019

As a new grad job seeker, this class is important for my career thought it's high unlikely be asked in the job interview.

By Utkarsh G

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Dec 19, 2018

In this course, you will get the knowledge that no one teaches you, that is how to make models in the most efficient way.

By arslan s

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Jul 8, 2018

It is a bit theoretical, but it is very helpful for those guys who are planning to start their setup of Machine Learning.