Chevron Left
Вернуться к Structuring Machine Learning Projects

Отзывы учащихся о курсе Structuring Machine Learning Projects от партнера deeplearning.ai

4.8
звезд
Оценки: 47,790
Рецензии: 5,488

О курсе

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....

Лучшие рецензии

JB
1 июля 2020 г.

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!).

TG
1 дек. 2020 г.

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.

Фильтр по:

451–475 из 5,451 отзывов о курсе Structuring Machine Learning Projects

автор: Martin S

11 нояб. 2020 г.

Again a very good course by Andrew Ng. Concise, structured, easy to follow. The quizzes are a highlight, as the questions mimic a real project's journey and ask about exemplary situations (instead of just definitions and jargon).

автор: Girish S

27 июля 2020 г.

This course gives insight on how to use deep learning algorithms to use in real world. Quizzes contain really good case studies which are very good. Definitely recommend this course even to one who knows deep learning algorithms.

автор: AMRICHE A A E

14 апр. 2019 г.

Excellent course that covers some of the most critical aspects related to machine learning projects. The approach used in the quizzes is very effective. It introduces learners to some common problems under a variety of scenarios.

автор: Pravin J

8 дек. 2018 г.

This was really interesting but at the same time quite tricky to take any decision after we get the poor results. I think it would be even better if we had also programing exercise where we could for example do transfer learning.

автор: Farhad A A

27 окт. 2018 г.

'Structuring Machine learning Projects' is a strategic approach to modeling machine learning algorithm. And this is the course that really teaches how we can apply ML algorithms we learnt to the real world problems "Efficiently".

автор: Bonnie M M B

12 мар. 2018 г.

Loved the Course, it really Helps a lot for the Projects, You save us lots of time.

I have a question which activation function did I have to use on the final Layer on a Multi-Task problem, Im working in a project with multi-task.

автор: Derick N T

5 окт. 2020 г.

The simulator exercises are particularly interesting, as the introduce learners to making decisions when dealing with machine learning projects. This was the highlight for me, and I believe, it has help me build some intuitions.

автор: Sushil S

17 нояб. 2019 г.

Everyone, literally everyone who wants to start doing machine learning projects at the industry level should first go through this course. I think this course will make the life of an fresh machine learning engineer much easier.

автор: snehil v

12 июня 2018 г.

I have studied Deep learning in detail from free courses but tried this course by Andrew and loved it because it was great for people who are being introduced to deep learning projects.I will recommend this course for beginners.

автор: Anurag D

24 июня 2021 г.

This course is excellent to get a start of deeplearning.

I really emphasize this.

Dr. Ng is an awesome professor who can simplify abstract and complex concepts to a really linear knowledge flow i.e. removed activation layer hahha

автор: virat v

28 мая 2020 г.

This course is really a deep insight of practical application. Completing this course gave some important points ,but they can be truly learned only when we try real world application by our own. Once again thank you Andrew sir

автор: Sven S

25 июля 2019 г.

Again, the videos were very informative and pleasant to watch, using well established didactic methods. Information given were (as far as I am aware) up to date and pretty good to understand. Thanks for the excellent lectures.

автор: Abiodun O

14 мар. 2018 г.

This course is really short but very packed. Prof. Andrew shared alot of his practical experience in this course. Given the value of Prof. Andrew's years of experience, this course will still be "cheap" even if it costs $ 1000!

автор: Amit T

22 окт. 2020 г.

This course teach you strategy which will help you in solving real time problems and reference have been taken from real problems. it gives you a prospective to weights different option and create your strategies. Good work !!

автор: Mohamed A A

21 дек. 2020 г.

This course containes precious insights regarding right strategies and tactics to use in order to build a sucessful machine learning system. Thank you for the great effort put in preparing this remarkable source of knowledge!

автор: Jagruti P

18 авг. 2020 г.

This course has really taught how to start solving a real-world machine learning problem, what to do incase of facing different kind of issues. Hopefully, I will be able to apply them in designing machine learning algorithms.

автор: Girish G

3 мая 2020 г.

This particular course details all the minute aspects needed to have a better model. All the concepts were explained clearly in the course. I felt this course to be a like a "icing on the cake" to basic Neural Network course.

автор: GUSTAVO E Z

6 мар. 2020 г.

Once more Andrew is greaqt teachng and very clear in his explanations. This course let me learn how to improve the development of a Deep learning project aiming at the right parameters and algorithms to be worked on the road.

автор: 吳沛燊

31 авг. 2017 г.

Very useful ! It is a common problem of getting lost in ML projects, although the guidance seems abstract at first glance, it proves to be invaluable when ever we are in the midst of struggling for better modeling performance

автор: Rashmi S

24 янв. 2022 г.

An Excellent Course to go with, will let you clear all your basic problems over distributions of Dev/Test sets, will make you understand and learn on avoidable bias inputs and choosing your parameters accordingly. Great one!

автор: Gudivada R K

21 июня 2020 г.

Much needed course for those who are in their starting/middle stages of DL/ML projects. This course gonna play a vital role in their projects. The explanation from Andrew Ng was interesting with real-time scenarios examples.

автор: Gourav K

22 авг. 2019 г.

Thank You, Professor Ng, for creating so much valuable learning. The values to those are added and we get ambitious and inspired being through the interviews you took with great Deep Learning and Machine Learning scientists!

автор: David C

11 июля 2018 г.

I came into this course with the bias that it would be the least applicable of the five in the series-- however, I really feel that the information conveyed was extremely important for practical application of deep learning.

автор: Salim L

25 мар. 2018 г.

Really helpful project strategy for Deep Learning that can save many months of work. While this course is a bit repetitive at times, Andrew Ng's recommendations are hugely important and his simulation tests quite innovative.

автор: Marko N

26 авг. 2020 г.

Pretty interesting ideas on how you can improve your deep learning system. It teaches you a number of strategies that help you identify the most promising things to try. Quizzes are especially interesting in this course.