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

4.8
estrelas
45,667 classificações
5,207 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

JB
1 de Jul de 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
22 de Nov de 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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4526 — 4550 de 5,151 Avaliações para o Structuring Machine Learning Projects

por Darkwing D

9 de Ago de 2018

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

por mahesh p

11 de Mar de 2018

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

por Litvinau A A

13 de Nov de 2017

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

por Andreea B

4 de Set de 2017

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

por 蕭博偉

13 de Jan de 2020

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

por Jarno R

11 de Set de 2019

Extremely valuable practical information regarding how to structure ML projects.

por Onkar M

11 de Jun de 2019

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

por Thomas P

21 de Set de 2017

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

por Nicolo d G

17 de Fev de 2019

A bit short and light to be a course on its own but still useful in the series.

por Jose L M

1 de Out de 2018

Quiz answers were not that clear. They seem more "gotcha" than "deep learning".

por Sumesh R

8 de Abr de 2018

It would be good to have more practical/industry scenarios added to the course.

por Victor P

10 de Nov de 2017

Always great, but some little issues in the content makes it feel less perfect.

por Yang C

24 de Fev de 2021

Great course, would expect more content for machine learning production system

por Francesco D Z

25 de Set de 2017

Great class overall. Some practice example on multi-task would have been nice.

por Steve D

10 de Mai de 2020

Great course for a coding professional to improve on their fine tuning skills

por Maik F

1 de Abr de 2019

Greate knowledge, but I had a hard time motivating myself through this theroy

por José A M

5 de Ago de 2018

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

por Kumar V

15 de Out de 2017

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

por Fredy A O L

29 de Mai de 2020

El curso es muy bueno, le dá concenjos para emepzar a mirar redes neuronales

por Isara D S

23 de Abr de 2020

As always loved the course, simulations were great and challenging to answer

por Jeff N

18 de Mar de 2018

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

por Mateusz O

5 de Jan de 2021

Kinda more theory-based compared to the last two, but still good regardless

por Animesh S

16 de Jun de 2019

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

por Umberto S

5 de Abr de 2019

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

por Sothiro P

11 de Set de 2018

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