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Avis et commentaires pour d'étudiants pour Launching into Machine Learning par Google Cloud

4.6
étoiles
3,764 évaluations
434 avis

À propos du cours

Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. This involves creating datasets that permit generalization; we talk about methods of doing so in a repeatable way that supports experimentation. Course Objectives: Identify why deep learning is currently popular Optimize and evaluate models using loss functions and performance metrics Mitigate common problems that arise in machine learning Create repeatable and scalable training, evaluation, and test datasets...

Meilleurs avis

OD

May 31, 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 02, 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 :)

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326 - 350 sur 432 Avis pour Launching into Machine Learning

par Cathryn S

Jun 23, 2020

Good lectures, but the labs are very directed which makes it hard to learn much from them.

par Jonathan A

Aug 08, 2018

Not very academically robust, but a nice quick intro to some of the real concepts of ML.

par Zhenyu W

Jan 02, 2019

A teacher's presentation skill needs to be improved. His speaking sometimes is blur.

par Edward B

Apr 20, 2020

Pretty good overall, missed the point of the labs a bit until I watched the review.

par 令安 趙

Oct 08, 2019

I hope for traditional Chinese ver. subtitle for those who are not good at English.

par Hussain S K

Jul 15, 2018

It would have been better if there was a separate module with hands-on lab of SQL.

par Jitender S V

Jun 26, 2018

Starting assignment is a pain. AWS is relatively faster. Nevertheless good course.

par Alex C

May 16, 2020

An interesting overview which explained some concepts well - good as a refresher

par 백규렬(BAEK G

Apr 23, 2019

강좌의 내용은 매우 유익한 것 같다. 하지만 머신러닝에 대해 처음 접하시는 분은 이 강좌를 접할 때 어려움을 겪을 수 도 있을 것 같다.

par pavan e

May 07, 2020

it would be much better if there is a section about bigquery and its syntax

par Hassan H

Mar 02, 2019

Everything worked great except the labs would not work. Had login issues.

par Rahul K

May 03, 2019

Phew ... that take a time to sink in but a good approach from google : )

par Andre A

May 26, 2018

Poor lab setup - have to repeat the step of creating a vm for every lab.

par Attila B

Aug 22, 2018

Really Interesting Course.Just a bit difficult to use the virtual labs.

par Mina J

Apr 28, 2019

love you. I have got a new perspective on Machine Learning !! great!!

par Seungchan L

Apr 20, 2019

중간 이후 부터 google cloud를 쓰는 실습은 좀 어려웠음. 좀 더 자세한 코드 분석에 대한 도움말이 필요함.

par Marc J

Feb 07, 2019

Good but a prerequisite statement of knowing SQL would be helpful

par 전진호

Apr 30, 2019

개념적 이해를 돕고, TensorFlow를 통하여 모델링 및 테스트를 직접 경험해 볼 수 있어서 좋습니다.

par xin w

Aug 31, 2019

It is better to give an explanation in detail of the codes

par Erwin V

Jul 17, 2018

Lots of interaction to put the theory into practice, nice!

par Ajay D

Aug 08, 2020

SQL queries in the qwiklabs demo needs more explanation

par Salamat B

Jan 21, 2019

Very good introduction to google ML models and bigquery

par Lee K

Apr 25, 2019

머신러닝의 이론적인 부분부터 적용 예제를 체험해볼 수 있어 종합적이고 좋은 강좌라고 생각합니다.

par Sandeep K

Jul 02, 2018

we need more examples on precision/recall F1 scores..

par Sangjun L

May 01, 2019

very good. but difficult for me to absorb everthing