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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

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.

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.

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2276 - 2300 of 5,718 Reviews for Structuring Machine Learning Projects

By Ashwin K

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Aug 15, 2021

An excellent course to learn various strategies involved in ML projects

By odilbek

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Jul 5, 2021

Good insights are given on how to analyze the model and its performance

By Satyajit P

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Jan 18, 2021

Great course, wonderful explanations of all stages and steps by Andrew.

By Brian C

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Aug 15, 2020

The quizzes (flight simulators) were exceptionally useful and relevant.

By ANWESH N

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Jul 21, 2020

one best thing I ever learned till now of the real-world implementation

By Dong Z

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Jul 13, 2020

I gained lots of knowledge about the complete workflow of a ML project.

By TC

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Jun 30, 2020

Short course but surprisingly packed with practically relevant content.

By Ali M

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Jan 3, 2020

This was a rare opportunity to learn what I have been missing for years

By Jeffrey W

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Nov 18, 2019

Practical ways to manage a project to reduce errors in a systematic way

By BlueBird

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Aug 22, 2019

Through this course, I understand the thinking hidden in deep learning.

By 邓晓涛

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Aug 8, 2019

Get more experiece from practice, really help and useful in daily work.

By Alan S

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Jul 22, 2019

Beneficial course with valuable insights oh how to manage an ML project

By Great S L

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Jun 25, 2019

Exceptionally constructive lecture for Machine Learning practitioners!!

By Nemanja J

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Apr 3, 2019

you are the best, this should be referent point of presenting knowledge

By Ajay S

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Feb 21, 2019

A great course learn a lot thanks for the financial aid for the course.

By Mohamed F

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Jan 19, 2019

very interesting i had learns a lot it will help me in my master thesis

By Sainath K

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Nov 5, 2018

Exceptional course for managers to learn on structuring ML projects !!!

By Jingbo H

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Jul 13, 2018

veriy good course! easy to master for fresh men and detailed materials.

By James G

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Jul 9, 2018

Learnt a lot for not only technical skills but also experience sharing.

By Simeon B

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Jun 3, 2018

I find the course very helpful for planning and organizing ML projects.

By Dmitry K

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May 28, 2018

A solid high level overview of the DL algorithm optimisation techniques

By Jan Z

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Mar 6, 2018

Very informative, concise, well presented, builds necessary intuition.

By Adrian L

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Jan 8, 2018

Good overview of important points to consider in deep learning projects

By Andrew D

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Nov 17, 2017

I learn how to do error analysis which I did not get from other courses

By Pamin R

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Nov 13, 2017

I have learned a lot about analyzing the error and how to make decision