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

4.8
звезд
Оценки: 44,113
Рецензии: 4,968

О курсе

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience. After 2 weeks, you will: - Understand how to diagnose errors in a machine learning system, and - Be able to prioritize the most promising directions for reducing error - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance - Know how to apply end-to-end learning, transfer learning, and multi-task learning I've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time. This is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization....

Лучшие рецензии

AM

Nov 23, 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.

JB

Jul 02, 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!).

Фильтр по:

4301–4325 из 4,918 отзывов о курсе Structuring Machine Learning Projects

автор: Ashraf A

Nov 16, 2019

Very helpful in understanding the way the machine learning projects should be managed.

автор: Dominik F

Jul 25, 2019

Very useful, but some questions were misleading or were not discussed until next week.

автор: Cristian D T

Oct 30, 2017

The material is good, but too short. It could have been compressed in another course.

автор: Manpreet S B

Oct 08, 2018

Good module to learn about how to structure the ML project and getting insights of it

автор: Jean L

Aug 20, 2018

I thought there would be more about project management specifics of machine learning.

автор: Nghia H

May 20, 2018

I feel like this course should be the last course in the sequence, not the third one.

автор: Chris U

Sep 25, 2017

This class gives an excellent overview of how to optimize a machine learning project.

автор: Javier L P

Apr 17, 2020

Missing the notes in between the videos like in the Intro to Machine Learning course

автор: CHIRAG J

Apr 09, 2020

It was a good structures machine learning course. It helps us to grab the knowledge.

автор: 畅 刘

Jun 22, 2018

Interesting lectures, not so difficult but need some knowledge about ANN in advance.

автор: Shreyas C S

Nov 26, 2017

lot of information. Practical exercise would would helpful to solidify the concepts.

автор: Lucas N A

Mar 23, 2020

I liked this course. It has really good tips and the quiz is challenging enough :).

автор: Prajjwal S

Dec 06, 2019

Very much theoretical, could be more helpful if we can piratically see the changes.

автор: Cosmin D

Oct 16, 2018

Nice and brief with valuable information about machine learning project management.

автор: Stanley P

Aug 31, 2017

If you add more assignments not only quiz, that will be very helpful!

Thx to Andrew!

автор: Chen B

Jun 11, 2019

Lack of hands-on exercises. However, it is still very good to learn new knowledge.

автор: Andrew W

Mar 13, 2019

Very slow, and probably longer than needed to be, plus only quizzes made it boring

автор: Darkwing D

Aug 09, 2018

Great course not requiring technical background. Great for QA/overseeing projects.

автор: mahesh p

Mar 11, 2018

Was more verbose and subjective. Would have liked references to more case studies.

автор: Litvinau A A

Nov 13, 2017

Great, but sometimes there were a problems with the videos (black screen and etc.)

автор: Andreea B

Sep 04, 2017

Very good tips and tricks, but I would have preferred it to be even more advanced.

автор: 蕭博偉

Jan 13, 2020

Briefly share Andrew's experience for directing what to do next in a ML project.

автор: Jarno R

Sep 11, 2019

Extremely valuable practical information regarding how to structure ML projects.

автор: Onkar M

Jun 11, 2019

This is a very interesting course but yes this is totally theoretical in nature.

автор: Thomas P

Sep 21, 2017

Good high-level course on how to think about projects implementing Deep Learning