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

3,038 notes
342 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 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....

Meilleurs avis


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 :)


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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176 - 200 sur 340 Examens pour Launching into Machine Learning

par Hafiz F A

Jul 12, 2019

Good course for learning

par Sachin K M

Jul 11, 2019

Really helped me to understand the nuts and bolts of ML and Data preparation along with preprocessing.

par Prem P

Jul 12, 2019

this is the best course. i liked it very much

par Avi k

Jul 14, 2019

Nice Explanation with examples and history.

par William S

Jul 17, 2019

Well laid out, organized, and packed with useful information.

par vipul a

Jul 21, 2019

Amazing! Really Feel Great on Learning! Hope to see you all @Google IO


Jul 21, 2019


par suresh s

Jul 23, 2019


par Mary B

Aug 08, 2019

The math made me pull out old calc textbooks, but very good building of where the ML process is headed in terms of getting good sample data.

par Naman M

Aug 15, 2019

Awesome course.

par Juan A

Aug 11, 2019

Two words ... A - mazing :)

par Minjae K

May 08, 2019

It was so easy than I thought. I would like to recommend to my friends.

par JoowonLee

May 08, 2019

good but it was so hard...

par 이건우

Apr 26, 2019


par 임승근

Apr 26, 2019

Good Good VeryGood!!!

par kim m s

Apr 25, 2019


par Someron B

Jun 01, 2019

Great course

par Snehil S

Jun 15, 2019

Very detailed explanation

par Mr. J

Aug 16, 2019

Excellent. Nicely conceived and executed.

par Manish K

Aug 19, 2019

Likes that course

par Sahid T

Aug 19, 2019

Great !

par You-Ming C

Sep 07, 2019

Great !

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 Pasupuleti N B

Sep 07, 2019