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Avis et commentaires pour l'étudiant pour Structuring Machine Learning Projects par deeplearning.ai

4.8
33,506 notes
3,516 avis

À propos du cours

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....

Meilleurs avis

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.

DC

Mar 08, 2018

Going beyond the technical details, this part of the course goes into the high level view on how to direct your efforts in a ML project. Really enjoyable and useful. Thanks for making this available!

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1 - 25 sur 3,477 Examens pour Structuring Machine Learning Projects

par Damian C

Mar 08, 2018

Going beyond the technical details, this part of the course goes into the high level view on how to direct your efforts in a ML project. Really enjoyable and useful. Thanks for making this available!

par Liu H

Jun 11, 2019

This course would be immensely helpful for those who have not started on their first machine learning project. However, the insights shared are quite commonsensical and intuitive for those who have already had some minimal experience in machine learning. This course also does not feel as substantial as the other courses in the specialization, though the tips provided are definitely valuable.

par ABHISHEK K

May 31, 2019

I recommend this course. This will be a bit of theoretical which is good. It will talk about real world scenarios over the errors which is what we deal in day-to-day life and how to deal with it.

par ANKIT M

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.

par Walter G

Mar 19, 2019

Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.

par THAMMANA S R

Sep 22, 2018

This is a must course in the entire specialization. It covers the step by step procedure to approach and solve a problem. The case studies provided are real world problems which are so much helpful.

par SAI V K

Feb 20, 2019

This is the knowledge in which we will get from lots of experience only, but the andrew has shared in this course which might help us in future by saving a lot of time through this course experience

par Ziping Z

Apr 07, 2018

A lot of concrete examples, including those in the lectures and in the tests. Gained some thoughts on how to manage a ML project. Thanks Andrew and deeplearning.ai for providing such a great course.

par Nazarii N

May 25, 2019

more practice!

par Nilesh I

Nov 11, 2017

Awesome course as always. The course teaches real world practical aspects of how to get started and navigate in the real world projects. The guidelines are actual learnings from years of experience.

par Matei I

Feb 16, 2019

I'm glad I spent some time on the "Flight simulator" assignments in this course. It's the first time in the specialization when I actually found the quiz questions challenging, and that's a welcome change. However, I didn't learn too much from the lectures. They were too repetitive, either repeating themselves or the material from the previous course. One or two videos could also do with better editing work: I could hear Andrew making a soundcheck, and there's a 30sec segment that's played twice in a row. Overall, it's probably worth doing this course, given that it requires very little time, and the assignments are useful.

par Mark N

Jan 27, 2018

Time wasting, all could be summarized in 30 mins video at the end of the previous course

This specialization has increased my knowledge and passion to learn about machine learning.

but that course took me alot as i really hated wasting my time watching aaaaalllll these videos for nothing really really small amount of useful information

Sorry if i was rude, but that's my opinion and that's because i really appreciate coursera contribution in knowledge sharing especially for those who can't afford it (like me)

par 罗家伟

Jan 29, 2019

在网易学过一遍,已经第二遍学了,实在讲的太好了,深入浅出!!!

par Elad A

Jan 27, 2019

A wonderful course to learn strategies about how set up and develop the deep-learning network depends on the algorithm's errors.

par ryomasusan

Jan 28, 2019

this is really helpful!

par Vishnusai Y

Jan 28, 2019

Excellent Course with excellent insights !

par Lokesh B

Jan 14, 2019

Great Learning Experience

par Yuting Z

Jan 14, 2019

very nice!

par Surya P S

Jan 16, 2019

Best course to understand the business application/Implementation in different products in workforce.

par Hassan E

Jan 14, 2019

Very nice content :)

par Martin K

Jan 15, 2019

This course completely wrapping up the topics from course 1 and course 2 of the deep learning specialization while presenting up-to-date (and fun(!)) "real" word evidence cases. From all the courses in the specialization, I found this one particularly compelling in terms of easy-to-grasp and the best overview of ML projects. The assignments were outstanding, making you really the feel like you truly understand ML challenges, use cases and solutions to problems.

Totally recommend this course!

par Mubashar N A

Jan 15, 2019

very informative course on how to organize your project and use the datasets in a more efficient way and avoid strategies which waste time at start

par Anushka A

Jan 16, 2019

Highly recommended. One of the rare courses which train you for real challenges you face in handling any Data Science project.

par David P

Jan 16, 2019

Very useful!

par Kirk B

Jan 17, 2019

Andrew Ng is hands down the best teacher in this space. Excellent lectures and a well run course.