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

4.8
stars
49,925 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.

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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751 - 775 of 5,724 Reviews for Structuring Machine Learning Projects

By Michael R

Jul 16, 2021

This course is probably the most efficient day and a half I have spent in my deep-learning learning journey as far as increasing my confidence and effectiveness as an engineer.

By SANTHOSHKUMAR P

Jun 16, 2020

I have learned so much of concept in the structuring of machine learning projects and very awesome two case studies, clear cut of concepts of end to end deep learning approach.

By Ayush G

May 24, 2020

A good course providing you a platform to actually experience what it is like to design an ML/DL project and iterate through lots of training. I found the quizzes very helpful.

By AKSHAY K C

Feb 15, 2020

Truly a great course by the instructor and his team. These real-life problems are certainly not taught anywhere. Kudos to instructor and team for delivering such a good course.

By Willismar M C

May 22, 2018

Very nice subject about how to structure and focus on the project and the objective and don't let the misleading data to diverge from that. I really enjoyed every detail of it.

By Shaw L

Aug 29, 2017

More general topics. Easier than the previous two courses. Without practical experience in the field, it's difficult to claim right now how much I'll benefit from it in future.

By Mazen S

Jun 22, 2020

This course gave me a chance to learn how a ML process is carried out from the beginning ,and focusing on the intution rather than the maths is also necessary for ML engineer.

By Yogesh S

Jun 8, 2020

नमस्ते अण्ड्रु जी, आपका बहुत बहुत धन्यवाद। आप एक महान व्यक्ति है हमारे लिए। आपके द्वारा कृत ये पाठ्यक्रम से मैंने बहुत दुर्लभ जानकारी और विचार सीखें। जीवनभर आपका आभारी रहुंगा।

By s d

Mar 27, 2020

An essential part is covered in this specialization,i.e Error Analysis and Model's different kinds of learning techniques with very practical case studies are so much helpful.

By Sam L

Jan 10, 2020

This course is a most for everyone who want to work in this field. Great content! Helps you to take the shortest (and correct) way... Thanks a lot Mr Ng for this great course!

By Joao N

Nov 10, 2019

Good coverage of the mindset required to start and to critically evaluate other projects. Both assignments were extremely useful since they actually portrayed real situations.

By Sylvain L

Aug 23, 2019

Excellent course on practical considerations of working on a real machine learning project. I believe that this material could save a lot of wasted efforts on future projects.

By Etienne R

Nov 5, 2017

Priceless material in a world full of tensorflow/scikit learn which done all the hard programming job for you ! A focus on the feeling/expertise of a machine learning project.

By Mike W

Feb 17, 2024

This is an excellent course, there are many ideas and technologies introduced that help get a better understanding of the practical engineering practices of machine learning.

By Rui X

Jun 7, 2021

I like the course very much because it shows lots of real issues when work in practice, and tells clearly how to solve these issues. Also the flight simulator is very useful.

By Ramon S

May 20, 2021

Fantastic course! This will save me so much time when implementing my own deep learning models, as I can now easily identify what to work on to improve my models performance.

By Leonardo F M

May 12, 2021

Excellent. This course simply blows my mind with how much precise information on deep learning subtleties, deep understanding, and practical clues it can cover. Thanks a lot.

By Vinod V

Jan 24, 2021

I loved the real world problems in the quiz, that ML scientists will face in the future. I feel this course is made to genuinely learn rather than give people certificates :)

By Rishabh M

May 10, 2020

This is really a great course . Now i have insights of real world data science projects and knowledge of prior steps to take to improve my model in most efficient way

Thankyou

By Shivanshu P

Apr 29, 2020

Amazing Insights! Loved every second of the course. Actually, these are the issues I have actually faced in my small professional career and this course really did help a lot

By YeongHyeon P

Mar 16, 2020

This course gives me an insight into the machine learning techniques. Especially, many videos of this course deal with how to handle the dataset for improving ML performance.

By Sebastiano B

Oct 21, 2019

This course gives a bird's eye view of a ML project ABSOLUTELY needed in a Production environment or consultancy. Maybe this one could be the first or second course overall..

By Deleted A

Nov 11, 2018

Most important learning is on how to make acceptance matrix and validation matrix and setting goal for team. And most importantly error analysis and strategy for improvement.

By Willem v G

Mar 20, 2018

Very learning-ful and insightful. Andrew - as always - is a great instructor, explaining all the topics in a clear, understandable, concise and ready-to-use/pragmatic manner!

By Mansi G

Mar 17, 2018

This course was pleasure to complete. I enjoyed it the most of all the three so far! And some of the stuff taught in this course felt so useful even outside machine learning.