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

4.8
estrelas
47,491 classificações
5,445 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

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.

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.

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2526 — 2550 de 5,407 Avaliações para o Structuring Machine Learning Projects

por James T S

19 de Out de 2017

Superb course that includes valuable practical knowledge.

por Salma E

13 de Set de 2021

Very helpful, especially when it comes to error analysis

por Nhựt Đ M

10 de Ago de 2021

Give you great insight into the building a model process

por ruchi j

29 de Jul de 2021

Very good explanation and best practices has been shared

por Moritz K

10 de Jan de 2021

As usual a really nicely structured course by Andrew Ng!

por induraj

6 de Jun de 2020

Exceptional Course. Thank you Professor Andrew and team.

por Syed T S

21 de Mai de 2020

As usual Andrew NG at his best. Very informative course.

por Timur B

11 de Jul de 2019

Lots of useful advice on how to proceed with ML projects

por John H

11 de Jul de 2019

excellent class and I especially like Andrew's teaching.

por Naman S

4 de Jul de 2019

A must course for anyone who is studying deep learning .

por Ivan M

24 de Mai de 2019

Important topics that everybody skipped, awesome course!

por Satheeshkumar M

4 de Mai de 2019

Great course to learn practical nuances of Deep Learning

por TanBui

14 de Fev de 2019

Very good tips on how to fix/improve the training model.

por dmitry p

9 de Jan de 2019

Useful course for high level DNN management and planning

por Alexander O

29 de Dez de 2018

Terrific content, well-structured and explained clearly.

por Chenxi G

8 de Ago de 2018

Some of the assignment questions are a little ambiguous.

por Steven L

22 de Jun de 2018

Very good/unique insights into applied machine learning.

por Itrat R

11 de Jun de 2018

Fantastic Course!!! Deserves nothing less than 5 star!!!

por Subramaniam V

6 de Jun de 2018

Really useful set of principles to guide any ML project.

por Yuri V H V

2 de Jan de 2018

great course, it is the basic recipe of machine learning

por Jorge D P

19 de Nov de 2017

Quite more useful than it seemed. A must, don't miss it.

por Aaron D

13 de Nov de 2017

Really helpful for moving forward a concrete ML project.

por Noam D

3 de Set de 2017

Great course, lots of practical information and insights

por LEE C T

22 de Nov de 2020

it provides practical tips on applying machine learning

por Kunal K

28 de Jun de 2020

Thank you, this helped develop problem solving mindset.