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Avis et commentaires pour l'étudiant pour Launching into Machine Learning par Google Cloud

4.6
2,798 notes
322 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

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 :)

PA

Aug 04, 2018

Good course, covering all the basics about machine learning and most importantly, everything that surrounds an ml project and you need to take into account to make your ml project successful.

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201 - 225 sur 320 Examens pour Launching into Machine Learning

par Chaminda W

Aug 31, 2019

good

par Ankur S

Sep 02, 2019

One of the most amazing courses I have ever taken!!

par You-Ming C

Sep 07, 2019

Great !

par Pasupuleti N B

Sep 07, 2019

good

par Saqib M

Sep 07, 2019

This course Help us learning Google Cloud platform and as well machine learning.

par 江祖榮

Sep 07, 2019

Great demo on Google Cloud platform's python notebook with fruitful basic ML concept

par 馬健凱

Sep 09, 2019

This course is insightful. I'm new to SQL, so I couldn't understand what was going on in the lab. I still find it enjoyable, and I think I've learned a lot. Maybe I'm not able to know how to split data as good as the instructors, but I'll use the resources on GitHub to keep improving.

par 吳金霖

Sep 13, 2019

OK

par Ike W

Sep 11, 2019

Great intro

par Jung-wen L

Sep 15, 2019

Not so easy for me but had learned lots concepts.

par 苡榕 朱

Sep 17, 2019

good

par Armen D F

Jan 29, 2019

This course provides a great synopsis of different machine learning models and their nuances. If you haven't seen machine learning before, you will probably need to go slowly and look up some of the concepts on your own. There are a lot of ML terms thrown around without any explanation, so be ready for that if you're new to this. The best part of the course was the Google TensorFlow Playground, where you can experiment with tuning neural networks to classify different types of datasets. The speakers in this course are all very good and the material is well organized. The reason for giving 4 stars is that the quizzes and lab exercises were much too easy, so anybody can get 100% for this course, which makes the grade (and passing score) meaningless.

par Prasenjit P

Feb 01, 2019

OK!!

par Salamat B

Jan 21, 2019

Very good introduction to google ML models and bigquery

par Rohit K A

Dec 16, 2018

No course resources available.

par Zhenyu W

Jan 02, 2019

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

par Rakesh T

Feb 25, 2019

Will be good to dumb it down further. The last part is good, the first two parts can have better examples and find easier ways to explain the theoretical concepts for folks who have not heard these before.

par Hassan H

Mar 02, 2019

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

par Putcha L N R

Dec 09, 2018

It was quite an insightful and playful way to learn about how the world's biggest AI company deals with AI problems!

par Francois R

Apr 08, 2019

Tensorflow Playground is awesome to understand some of the theory of Deep Neural Nets !

Theory on creating/managing models was good too.

The labs with BigQuery were not that interesting too

par Marc J

Feb 07, 2019

Good but a prerequisite statement of knowing SQL would be helpful

par Mario R

Jan 13, 2019

Nice course, kind of introductory but necessary for someone who has no knowledge about Machine Learning basics and most relevant algorithms so far.

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 Ashar M

Jul 14, 2018

Great presenter. High energy engaging. The material is more difficult and to develop intuition of why the sampling needs to result in constant RMSE didn't come across.

par Peter H

Jul 21, 2018

Great to get some theoretical background on machine learning as well as some practical experience