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Opiniones y comentarios de aprendices correspondientes a How Google does Machine Learning por parte de Google Cloud

4.6
4,314 calificaciones
658 revisiones

Acerca del Curso

What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of being about logic, rather than just data. We talk about why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models. Then, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. We end with a recognition of the biases that machine learning can amplify and how to recognize this. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<< COMPLETION CHALLENGE Complete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details....

Principales revisiones

JT

Nov 06, 2018

Great to know how to do machine learning in scale and to know the common pitfalls people may fall into while doing ML. Provides great hands-on training on GCP and get to know various API's GCP offers.

PB

Mar 21, 2019

Really easy with all instruction.I didnt feel bored at any point gave me the basic idea of what is machine learning and how easy google made API's and cloud platform for machine learning\n\nThank you

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426 - 450 de 649 revisiones para How Google does Machine Learning

por Hsin W C

Oct 17, 2019

Thank you for this fun and playful course you make my day become brighter:)

por Hsin-Jo T

Sep 28, 2019

Very useful to understand how powerful Google in machine learning.

por SUMEDH S

Sep 27, 2019

Fantastic course and delivery!

por Kzn

Sep 26, 2019

Understanding ML features in the Google Cloud Platform

por jong h c

Oct 20, 2019

good

por Bogook C

Oct 20, 2019

It was very meaningful experience to know how google is doing with lots of data which google has.

por Luftwaffe

Sep 30, 2019

Amazing beginner-level tutorial for ML and some important mind set-ups! I started to gain more curiosity and passion to dive more into these fabulous science! Thanks to Google Cloud Platform team which build all these materials up and offering to us.

por KimYongWan

Oct 20, 2019

Very good understandable and easy to use something tools

Perfect

por Mahendra S C

Oct 02, 2019

simple and to the point.

por Paitoon p

Oct 03, 2019

Good Course

por Pradeep G S B

Oct 03, 2019

The course is really excellent.

por Saksham

Oct 06, 2019

A great beginner freindly course. There are no confusions at any points, all instructions are easy and clear

por Shubham k S

Oct 05, 2019

This course really get me excited, it was so wonderful to see how google is using ML in day to day uses and in their product.

por 游淙舜

Oct 14, 2019

很多新的觀點於機器學習應用於現今的商業模式

por 令安 趙

Oct 15, 2019

Nice introduction to ML and basic GCP!

por Ryan M

Oct 28, 2019

Trying to run the Code from a local machine was a little more of a challenge than I thought it would be. Here's a code snippet that hopefully will help others in the future when they attempt to do the same.

#For this to work change __init__ in Programs\Python\Python37\Lib\site-packages\httplib2 line 1090 from int to float

APIKEY="AIzaSyD4EXe8wuo38HlDLYcmr9zUT5JBXo7uY00"

# running Translate API

from googleapiclient.discovery import build

service = build('translate', 'v2', developerKey=APIKEY)

# use the service

inputs = ['I love words that aren\'t']

outputs = service.translations().list(source='en', target='fr', q=inputs).execute()

# print outputs

for input, output in zip(inputs, outputs['translations']):

print("{0} -> {1}".format(input, output['translatedText']))

por Sai P R G

Oct 29, 2019

Very interesting course. Thank you coursera and qwiklabs for providing this beautiful course about "How google does machine learning"

por SAI S K

Nov 26, 2018

It was nice learning this. But some options are not working as mentioned in the content. Like creating Credentials was not always possible in the cloud

por Kyle K

Dec 15, 2018

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be more interactive, and hands on. I found too much was spoon-fed in the labs. More exploration should be encouraged.

por Salamat B

Dec 02, 2018

Good overview of google services for real machine learning products.

por Timothy J D C

Dec 25, 2018

Satisfactory as an introduction

por Nagaraj S

Dec 29, 2018

Excellent material on what are the pitfalls to avoid while doing machine learning. The laying groundwork and following all the steps section made sense. It shows that the course material has been prepared by practitioners - they "know their stuff".

por ATIF A

Jan 13, 2019

Really good introductory course.

por Gaurav M

Jan 14, 2019

An excellent overview providing a birds-eye view of where ML fits in the larger scheme of a software project and how it evolves. It also provides a good introduction to leveraging Google's ML APIs.

por Zhenyu W

Jan 02, 2019

Overall the course is good. IMHO the quiz needs to be improved. It should have more questions and the questions should be more directly related to the lecture or the contents. And I think the course should add some case studies.