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

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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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2651 — 2675 de 5,383 Avaliações para o Structuring Machine Learning Projects

por Tsang S H

26 de Nov de 2017

Systemic workflow is rarely mentioned in papers !!!

por Guillaume H

14 de Nov de 2017

Great, the most useful course so far to be honnest!

por Prabin S

29 de Out de 2017

Great Course. Thank you Andrew. Thank you Coursera.

por Shayak R

29 de Out de 2017

Good Practical tips for deep learning practitioners

por 孔燕斌

19 de Out de 2017

It's make me ready for a real deep learning project

por Anders B

3 de Out de 2017

Must watch for anyone doing or planning on doing ML

por Ling G

24 de Set de 2017

Very insightful and I like the pilot project a lot.

por 侯博维

17 de Set de 2017

waiting for the next class, hope it can begin soon.

por golden g

31 de Ago de 2017

非常适合甲方\导师\研发团队头目\产品经理, 即时战略类课程, 讲述如何评估模型如何挑选改进方向,

por Sabana G

3 de Abr de 2021

more case study and explaining the choices in them

por צבי נ

16 de Mar de 2021

Important course! The others worth less without it

por ARPITA M

27 de Ago de 2020

very qualitative information is provided thank you

por ANURAG A J

12 de Jul de 2020

Really helpful to better structure the ML projects

por Anton I N B

12 de Jun de 2020

Great course with practical machine learning tips!

por Muhammad A

15 de Mai de 2020

Very intuitive lectures and mind sharpening quizes

por Raeed A

14 de Mai de 2020

Amazing course and instructor, very well explained

por Noel J

13 de Abr de 2020

Best deep learning course for any AI practitioner!

por KARAN T

13 de Abr de 2020

Great advice for working on practical ML projects.

por Alexandre F

21 de Jan de 2020

useful insights into how to deal with a DL problem

por Dmytro P

8 de Out de 2019

Great insights from the industry for the beginners

por Michael C

4 de Jul de 2019

Another excellent course that I enjoyed immensely.

por Pedro R

25 de Jun de 2019

Very good content quality and challenging quizzes.

por Rich T

27 de Mai de 2019

Really a good overview for how to manage a project

por Tati H

3 de Fev de 2019

well designed and taught! thank you good people!!!

por Sanjeev U P

23 de Abr de 2018

Good practical advice on how to approach projects.