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Voltar para Structuring Machine Learning Projects

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

4.8
estrelas
47,200 classificações
•
5,421 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

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.

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!).

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2776 — 2800 de 5,382 Avaliações para o Structuring Machine Learning Projects

por Martha Y S V

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16 de Out de 2017

Nice course, but I missed the python practice.

por Oleksandr M

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14 de Out de 2017

Very useful tools and recommendations. Thanks!

por Huaizheng Z

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25 de Ago de 2017

Good for researcher to review basic knowledge.

por 陈啸

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24 de Ago de 2017

This course will help you avoid many mistakes.

por Masahiro M

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4 de Mai de 2021

Very practical with really good case studies.

por Maria R

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21 de Mar de 2021

Very easy to understand, ilustrative examples

por Chang X

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27 de Out de 2020

thanks Andrew for the great course materials!

por Heidy E M N

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11 de Ago de 2020

UN MUY BUEN CURSO APRENDI MUCHAS ESTRATEGIAS.

por mayukh m

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13 de Abr de 2020

great case study approach to machine learning

por Christian C

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15 de Out de 2019

Excellent practical advise by Prof. Andrew Ng

por Almir I

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13 de Mar de 2019

It's a great but short (2 weeks only) course!

por Qasid S

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7 de Fev de 2019

I haven't seen this type of guide on any Mooc

por Manuel F

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10 de Jan de 2019

Very valuable and practical insights. Thanks!

por Wadikur R

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25 de Dez de 2018

This course so essential and I learned a lot.

por ZW

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3 de Set de 2018

Great course content, could be longer though.

por Alice G

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27 de Jun de 2018

Very good lesson on more strategic approaches

por Kishan B S

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18 de Jun de 2018

Very pragmatic course for all data scientists

por Phailendra D

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17 de Abr de 2018

Very good course on structuring the projects.

por Huang J

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19 de Mar de 2018

Great Course. Better if have coding exercise.

por Aravinda G

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17 de Mar de 2018

Amazing course! Thank you very much Coursera!

por Julio N

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14 de Mar de 2018

now, i have more general knowledge about this

por Cristian R M

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20 de Fev de 2018

Unique gold course for real projects in ML/DL

por Fabian S

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10 de Fev de 2018

very useful, recommend to every practitioner!

por Wei X

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2 de Fev de 2018

important practical knowledge for application

por 宋国庆

•
3 de Nov de 2017

Many helpful experience. It really helped me.

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