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

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48,330 classificações

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.

MG

30 de mar de 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.

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2776 — 2800 de 5,519 Avaliações para o Structuring Machine Learning Projects

por Susan M

1 de jun de 2021

Challenging and useful - presented with clarity.

por Muhammad U J

23 de mar de 2021

Excellent course with a lot of practical advice.

por José b

12 de jan de 2021

Excellent coverage of a very practical material!

por Aishik R

14 de ago de 2020

Delivers exactly what it is supposed to deliver.

por Simbarashe M

8 de ago de 2020

now l can start implementing my research project

por UnniKrishnen N

13 de jun de 2020

Amazing course. Questions can be a bit different

por raj k

15 de abr de 2020

Very useful course for my knowledge improvement.

por Patrick B

11 de out de 2019

a lot of examples and i love the simulator part!

por Varun P

11 de abr de 2019

A very helpful course while working on Projects!

por Alam N

14 de out de 2018

Thanks to Professor Andrew Ng and Coursera Team.

por Liz M

4 de ago de 2018

Very useful ! I recommended it to my colleagues

por Jim F

15 de jun de 2018

Hey this is fun and the Heros talks are awesome.

por 朱琪超

27 de mar de 2018

Wonderful! Thank U so much.I have learned a lot.

por Vladimir

29 de jan de 2018

A very good strategical approach to AI projects.

por Matt S

27 de dez de 2017

We need this to be a DL project leader in future

por MehmetSolmaz

25 de nov de 2017

Very good details on how to start an ML project.

por Michel-Alexandre C

5 de nov de 2017

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por Deleted A

28 de out de 2017

Very useful information, presented with clarity.

por libaitian7271

27 de set de 2017

very good! I would like to learn other project,

por 姚佳奇

14 de set de 2017

Thank you , Andrew Ng, you are a great teacher!

por 田倬韬

3 de set de 2017

helpful course with intuitive project case study

por Wei L

27 de ago de 2017

very good course! No programming for this course

por Alfian A H

22 de abr de 2021

Very nice explanation. It's very understandable

por Lei W

5 de abr de 2021

This is a very practical course for ML projects

por Srinivasa M

9 de ago de 2020

Excellent examples are discussed by Prof Andrew