Chevron Left
Voltar para Structuring Machine Learning Projects

Comentários e feedback de alunos de Structuring Machine Learning Projects da instituição deeplearning.ai

4.8
estrelas
38,546 classificações
4,216 avaliações

Sobre o curso

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....

Melhores avaliações

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.

MG

Mar 31, 2020

It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.

Filtrar por:

3601 — 3625 de {totalReviews} Avaliações para o Structuring Machine Learning Projects

por Mohamed B

Aug 25, 2017

Gets repetitive at some parts, but otherwise very useful insights into best practices in the field

por Eric L

Dec 03, 2018

Very nice course but a bit more subjective than the 2 previous especially about human performance

por Priyansh J

Nov 28, 2019

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

por Stefan L

Feb 20, 2019

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

por Vaibhav J

May 19, 2018

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

por 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

por 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!!!

por Mahesh S P

Apr 23, 2020

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

por Anton O

Mar 07, 2018

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

por Timothy D

Oct 13, 2017

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

por Aby P

May 25, 2020

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

por elias m

Apr 16, 2020

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

Thanks

Elias Mokbel, CFA, M.Sc.

por Jochen I

Mar 01, 2018

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

por Nick R

Jan 07, 2018

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

por Bobby

Oct 24, 2017

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

por Ramachandran C

Oct 12, 2019

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

por 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.

por Kyle S

Oct 23, 2017

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

por Yang Z

Oct 21, 2017

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

por Amielle D

Jul 24, 2019

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

por Tariq A

Jan 12, 2019

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

por Ankur K

Nov 13, 2017

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

por Martin B

Mar 17, 2018

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

por Sudeep K

Apr 07, 2020

It could be more detailed. More Code intense! However, the course was really informative.

por Abhishek P

Sep 24, 2019

Initially a bit hard to understand but repeating the session helped to grasp the concepts