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学生对 Google 云端平台 提供的 Launching into Machine Learning 的评价和反馈

4.6
4,167 个评分

课程概述

The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training....

热门审阅

OD

May 30, 2020

Amazing course. For a beginner like me, it was a shot in the arm. Excellent presentation very lively and engaging. Hope to see the instructor soon in a another course. Thanks so much. I learned a lot.

PT

Dec 1, 2018

This is an awesome module. It will open up so much inside story of ML process which is core of the topic with such a simplicity. It greatly increases my interest into this topic and this course :)

筛选依据:

401 - Launching into Machine Learning 的 425 个评论(共 476 个)

创建者 Harsh A

Jun 21, 2018

History part was good.

创建者 Aman P

May 6, 2020

Enjoyed Learning.....

创建者 HYUNSANG H

Apr 15, 2019

Was good. Thank you!

创建者 Effi M J M

Apr 18, 2020

Un très bon contenu

创建者 Kaushal K

Aug 11, 2019

Awesome Experience.

创建者 NIRMAL C I

Jul 11, 2020

a bit complicated

创建者 Kunal P

Jul 22, 2019

Amazing to learn

创建者 Kimkangsan

Oct 19, 2018

nice intuition

创建者 Richik G

Sep 16, 2019

very valuable

创建者 Ahmad T

Aug 25, 2019

Excellent One

创建者 Minwook P

Apr 30, 2019

Good Course

创建者 Stephen H

Apr 13, 2019

good class

创建者 Rohit K S

Sep 17, 2020

Marvelous

创建者 Saif A

Apr 18, 2020

thank you

创建者 Terry L

Apr 21, 2019

따라하기가 어렵다

创建者 Rohan M

Jun 23, 2020

Great

创建者 유혹의그랜저

Apr 29, 2019

goood

创建者 KyeongUk J

Oct 21, 2018

great

创建者 Carlos P

Jun 26, 2020

good

创建者 김세영

Apr 30, 2019

GOOD

创建者 송지현

Apr 22, 2019

good

创建者 Prasenjit P

Feb 1, 2019

OK!!

创建者 Vinothini B

Oct 1, 2018

good

创建者 loossy

Apr 27, 2019

v

创建者 Jeremy B

Jun 8, 2018

I've spent the past three years studying ML and AI starting from the ground up with Calculus, Linear Algebra, basic data science techniques and eventually Deep Learning. I am primarily interested in this specialization because I would like to begin using GCP professionally. This course provides a very quick surface level overview of the "history" of ML and the techniques that have been aggregated to make up the current cutting edge of AI in practice. Already having a grasp on many of the concepts, I was able to zip through this course in a few hours and found it basic. If you're looking for something a bit more challenging, I would recommend the DeepLearning.ai specialization also available on Coursera. This course works well as a refresher and a high level overview. If you are completely new to the field, be warned that there is quite a terminology to be unpacked that is covered more thoroughly in other courses on Coursera. The University of Washington machine learning specialization (though sadly cut short) would be a much better starting place, if you are completely new to the topic.