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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
46,750 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

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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2676 — 2700 de 5,303 Avaliações para o Structuring Machine Learning 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

por Caroline C G

8 de Jun de 2020

This course is pretty good, I've learned a lot.

por ADITYA A

5 de Jun de 2020

Learned a lot. Great Course. Thank you so much.

por Vishwanath b

28 de Mai de 2020

It was very intresting to learn and understand.

por John T

26 de Abr de 2020

Another great course, bring on courses 4 and 5!

por Irwan R

16 de Abr de 2020

Thank you for sharing lots of valuable insights

por Jungyong U

21 de Fev de 2020

Always a great course for AI. Thank yo so much!

por Angam P

18 de Jan de 2020

Great Course giving great real life experience.

por Harsh B K

31 de Jul de 2019

Nice course to get intuition of how to proceed.

por Duong D K

14 de Mai de 2019

Clearly and improve my mind in Machine Learning

por Warren W

8 de Fev de 2019

Thers are a lot of useful skill in this course.

por Subrato C

9 de Set de 2018

I never knew I could learn so much from a MOOC.

por Arturo M R

29 de Jul de 2018

A "must" in order to become a real ML scientist

por Plusgenie

28 de Jul de 2018

전체적으로 Training/Dev/Test를 명확하게 이해할 수 있어서 좋았습니다.

por Jianhong X

14 de Jul de 2018

I find this one most helpful among all, really.