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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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1101 - 1125 of 5,718 Reviews for Structuring Machine Learning Projects

By Pedro H M P

Apr 28, 2020

Curso bem ministrado, com um olhar profundo para o tema. Gostei muito, supriu a necessidade que eu tinha em entender a fundo redes neurais

By Dean M

Jan 27, 2020

Nice course in addition to the other course in the specialization. Could be longer and deeper but still it's nice to get another insights.

By Chris M

Aug 30, 2019

Awesome, as always. Hands on and invaluable Machine-Learning practicing tips that I feel will help a lot in the future. Well don Andrew :)

By André G P

Dec 17, 2018

Excellent course, differentiated with lots of relevant information. Many years of experience translated into a set of best practice guide.

By Haolai J

May 15, 2018

This course is very valuable. Andrew shared a lot of first hand experience which I can hardly find in such a systematic way anywhere else.

By Isaac G P

Apr 15, 2018

Really helpful at getting insight about how to plan your next project, and where to place all your efforts when your algorithm seems stuck

By Christopher O

Mar 7, 2018

Nice to learn more about the nuances of training neural nets and what we could do to improve performance rather than wasting lots of time.

By srujan k

Aug 28, 2021

This is a qualitative course, which is essential as it decides the direction of your project and where you spend your time in the project

By Deleted A

Oct 14, 2020

While a lot of the guidance was heuristic it provided very useful insight. It was a useful course for applying neural network technology

By Japesh M

Jun 27, 2020

I have been a huge fan of this specialization. This course particularly helps us understand the errors occurred while implementing ML/DL.

By Yash K S

May 5, 2020

A very unique course covering the subtle problems one starts facing when one works in machine/deep learning projects. Highly recommended.

By Shreyas C

Jun 15, 2019

It is good course to understand real world problems.There is too much theoretical knowledge and exposure but sometimes it is boring also.

By Tien H D

Jun 8, 2018

Even though I'm quite experienced with training models, I find this course is very useful and can give me valuable directions. Thank you.

By Luis A A

Sep 28, 2020

This course is more focused on experience and advices that can make the difference in terms of efficiency when implementing ML projects.

By Juan D P G

Jul 22, 2020

Lo que aprendí en este curso es realmente importante, porque aprendí cómo analizar los resultados y buenas herramientas para mejorarlos.

By Abhishek S

Feb 10, 2019

Very valuable the practical considerations in implementation of NN or ML systems. I haven't seen anything like these discussed anywhere.

By Jalaz K

Oct 28, 2018

Excellent Course. Gives Deeper Insight to the Structuring of Large Scale ML Projects. Learned Transfer Learning and Multi-Task Learning.

By Gopinaath R

May 18, 2018

Highly recommend this to anyone who works on personal projects or is a manager guiding a data science team on a machine learning project

By Николай А

Nov 1, 2017

Good and interesting course with interesting examples from real practice, and elegant engineering solutions to solved a lot of problems!

By Ankur K S

Oct 25, 2017

These all courses are really very clear and easily taught. I am eagerly waiting for the Convolutional Neural Network and Sequence Model.

By Shubham

Sep 23, 2017

It would be better if one passes the quiz, you just show the correct answers and reasons for the questions in which one has made mistake

By MD A A M

Sep 25, 2020

I learned a lot of helpful techniques after finishing the course. I recommend this course to everyone who is ML projects, enthusiastic.

By Vikrant T

Jul 29, 2020

An amazing course to provide you with valuable knowledge on how to go about implementing your machine learning projects systematically.

By Dr B Y

Jul 18, 2020

Very interesting. Case studies are very useful for self evaluation. Awesome content by Prof. Andrew Ng and his team. Thank you so much.

By Scott L

Jul 17, 2020

I really enjoyed Andrew Xg's knowledge and advice in this class. I especially enjoyed the problems at the end of each week's lectures.