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学生对 DeepLearning.AI 提供的 Structuring Machine Learning Projects 的评价和反馈

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50,128 个评分

课程概述

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....

热门审阅

MG

Mar 30, 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.

YP

Jul 25, 2018

Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN을 실제 적용할때 반드시 이해하고 적용해야 할 실질적 내용들로 구성된 멋진 코스 입니다!

筛选依据：

2951 - Structuring Machine Learning Projects 的 2975 个评论（共 5,746 个）

创建者 Oleksandr M

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Oct 14, 2017

Very useful tools and recommendations. Thanks!

创建者 Huaizheng Z

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Aug 24, 2017

Good for researcher to review basic knowledge.

创建者 陈啸（Shawn C

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Aug 24, 2017

This course will help you avoid many mistakes.

创建者 Nicolò F

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Sep 21, 2024

It is very interesting and easy-to-understand

创建者 Masahiro M

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May 3, 2021

Very practical with really good case studies.

创建者 Maria R

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Mar 21, 2021

Very easy to understand, ilustrative examples

创建者 Chang X

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Oct 27, 2020

thanks Andrew for the great course materials!

创建者 Heidy E M N

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Aug 10, 2020

UN MUY BUEN CURSO APRENDI MUCHAS ESTRATEGIAS.

创建者 mayukh m

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Apr 13, 2020

great case study approach to machine learning

创建者 Christian D C H

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Oct 15, 2019

Excellent practical advise by Prof. Andrew Ng

创建者 Almir I

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Mar 12, 2019

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

创建者 Qasid S

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Feb 7, 2019

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

创建者 Manuel F M R

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Jan 10, 2019

Very valuable and practical insights. Thanks!

创建者 Wadikur R

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Dec 24, 2018

This course so essential and I learned a lot.

创建者 ZW

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Sep 3, 2018

Great course content, could be longer though.

创建者 Alice G

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Jun 27, 2018

Very good lesson on more strategic approaches

创建者 Kishan

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Jun 18, 2018

Very pragmatic course for all data scientists

创建者 Phailendra D

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Apr 16, 2018

Very good course on structuring the projects.

创建者 Jiaming H

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Mar 19, 2018

Great Course. Better if have coding exercise.

创建者 AG

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Mar 17, 2018

Amazing course! Thank you very much Coursera!

创建者 J

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Mar 14, 2018

now, i have more general knowledge about this

创建者 Cristian R M

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Feb 20, 2018

Unique gold course for real projects in ML/DL

创建者 Fabian S

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Feb 10, 2018

very useful, recommend to every practitioner!

创建者 Wei X

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Feb 2, 2018

important practical knowledge for application

创建者 SONG G

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Nov 3, 2017

Many helpful experience. It really helped me.