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Вернуться к Structuring Machine Learning Projects

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

4.8
звезд
Оценки: 44,224
Рецензии: 4,987

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

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!).

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.

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4276–4300 из 4,936 отзывов о курсе Structuring Machine Learning Projects

автор: Priyansh J

Nov 28, 2019

Great teacher and great content. thought content could have been more! but overaal it was great.

автор: Stefan L

Feb 20, 2019

It's nice to get some insight into projects. It would be great to have even bigger case studies.

автор: Vaibhav J

May 19, 2018

It would be a better course if you give more problem assignments. Rest everything was very good.

автор: yassine a

Jan 21, 2018

The videos are so long, there is a lot of repetition. it would be better to do it in three weeks

автор: 鞅骠豪

Jan 14, 2018

我觉得应加上一些demo使我们更加深刻体会到这些技巧的作用,至少感受一下。此外,强烈建议恢复总结单元,可以不是ppt但至少也要是个文章,总觉得现在的课程有点赶。没很好的方法复习学过的内容!!!

автор: Mahesh S P

Apr 23, 2020

Good experince of working on ML/DL projects is given in this course. Quiz 1 is little confusing

автор: Anton O

Mar 07, 2018

A lot of useful information, but perhaps some areas should have been explored in greater depth.

автор: Timothy D

Oct 13, 2017

This course was a lot more interesting then I thought it would be. Very useful knowledge here.

автор: Gopal S P

Jul 11, 2020

Great content.

Too many dimensions to think about which is good and exhaustive at the same time

автор: Aby P

May 25, 2020

learned real life implementation and how things working on industries, but content was so slow

автор: elias m

Apr 16, 2020

I wish I had this course when I started working in data science

Thanks

Elias Mokbel, CFA, M.Sc.

автор: Jochen I

Mar 01, 2018

Still fun but much less practice (no programming assignments) makes it a little less thorough.

автор: Nick R

Jan 07, 2018

Informative, but theoretical. After 3 courses I'm looking to do some hands-on work of my own.

автор: Bobby

Oct 24, 2017

Lecture was good but no programming assignment for this course. I took out one star for this.

автор: Ramachandran C

Oct 12, 2019

Loved the practical guidance provided by Andrew Ng on large-scale machine learning projects.

автор: Arthur J

Jul 20, 2019

It would be great to have some materials to be able to go back to once done with the course.

автор: Kyle S

Oct 23, 2017

This is a great course. It will be an invaluable reference when tackling real-world problem.

автор: Yang Z

Oct 21, 2017

Some videos don't end properly and instead give you a black screen to stare at for a minute.

автор: Neel K

Oct 19, 2020

It was better to include some more case studies. This was a better real-time understanding.

автор: Michael L

Jun 10, 2020

Sometimes, the explanations/advices given were too lengthly and contained some repetitions.

автор: Amielle D

Jul 24, 2019

There were some typos throughout the course, but the core topics were still discussed well.

автор: Tariq A

Jan 12, 2019

A good quality course, would have loved to have some programming exercises to go with this.

автор: Ankur K

Nov 13, 2017

It would have been a little better if some assignments were also provided with this course.

автор: Rohini H

Jun 10, 2020

still with some more example & more simplest way to solve them .with simple basic examples

автор: Martin B

Mar 17, 2018

Again, excellent, but proof reading of the test and proof-viewing of the videos is needed.