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
46,753 classificações
5,355 avaliações

Sobre o curso

In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader. By the end, you will be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This is also a standalone course for learners who have basic machine learning knowledge. This course draws on Andrew Ng’s experience building and shipping many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Melhores avaliações

TG
1 de Dez de 2020

I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

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.

Filtrar por:

4676 — 4700 de 5,303 Avaliações para o Structuring Machine Learning Projects

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

por Vito D

22 de Set de 2017

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

por Francisco J M O

29 de Dez de 2020

Muy interesante, se aprende mucho en situaciones aplicables a la vida real

por Jean-Michel C

30 de Dez de 2018

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

por Mandlenkosi N

10 de Dez de 2018

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

por subho c

29 de Set de 2018

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

por Yisheng Y

25 de Jan de 2018

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

por dh

17 de Out de 2017

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

por Ruifang W

23 de Ago de 2017

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

por Sergey I

22 de Ago de 2018

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

por Nimrod P

6 de Fev de 2018

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

por Abhishek R

27 de Nov de 2017

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

por Matteo P

23 de Set de 2017

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

por Leon M W

26 de Dez de 2020

Nice but not as informative and well crafted as the previous two courses