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
36,102 classificações
3,847 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

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.

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.

Filtrar por:

3326 — 3350 de {totalReviews} Avaliações para o Structuring Machine Learning Projects

por José A M

Aug 05, 2018

Good background theory for people starting in the field to get familiar with.

por Kumar V

Oct 15, 2017

Good learning , teaches us how to diagnose and plan machone learning project.

por Jeff N

Mar 18, 2018

I would have loved more programming assignments and opportunity to practice.

por Animesh S

Jun 16, 2019

I see the point, but takes too long to make it. But part of a great series.

por Umberto

Apr 05, 2019

useful hints and techniques to manage ML Projects and choose right approach

por Sothiro P

Sep 11, 2018

I thought the course was clear and gave useful tips in leading a ML project

por Vito D

Sep 22, 2017

A bit short, maybe combine this into other courses? Or expand it with labs?

por Jean-Michel C

Dec 30, 2018

Very useful tricks / method to approach typical machine learning projects.

por Mandlenkosi

Dec 10, 2018

I loved the use cases it gave a practical uses of what I've been learning.

por subho c

Sep 30, 2018

Some hands on exercise to complement the theory would have been excellent.

por Yisheng Y

Jan 25, 2018

I am pretty surprise that this course does not have programming assginment

por dh

Oct 17, 2017

provide student with some code tests like previous courses may be better .

por Ruifang W

Aug 23, 2017

quite detailed and easily accepted way of understanding all the materials.

por Sergey I

Aug 22, 2018

Good and useful material. However the homework is not challenging enough.

por Nimrod P

Feb 06, 2018

Some video issues, give this course a slightly lower production values...

por Abhishek R

Nov 28, 2017

Very useful for people working in ML. Short on content but one of a kind.

por Matteo P

Sep 23, 2017

Lot of blanks and glitches in the videos. Should be better reviewed by QA

por Madhumathi R

May 29, 2019

It could have been the last course in the specialization instead of 3rd.

por Sébastien D

Nov 17, 2017

Some effort should be put in editing the videos. Else it is pretty good!

por Paulo A V

Nov 16, 2017

Innovative contents full with good advises and suggestions in the matter

por Simon L

Nov 01, 2017

Really good for intuition. Only wish there was some code sprinkled in :)

por Joffre L V

Oct 25, 2017

Very good course, maybe a little more project work would be better, ....

por Abhinand

Mar 28, 2019

The answers to the questions in the Quiz are ambiguous and subjective.

por Wynand

Feb 15, 2018

Good, not dissimilar information from what was taught in the ML course

por R. P R

Nov 30, 2017

Will return to this lecture again in the future as reference material.