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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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26 - 50 sur 340 Examens pour Launching into Machine Learning


Feb 05, 2019

5 starz - very good info and pointful.

par shabeer m

Feb 05, 2019

fanstatic course

par Kaustubh M H

Feb 13, 2019

This course gave me a good overview of how to work with GCP for ML and also helped in covering a bit of knowledge gaps that I had when I learnt things on my own.

par pravin b

Sep 08, 2018

A good introduction to the process. Well structured. In particular I liked the section on loss functions.

par Leon W

Sep 23, 2018

The course is practical and thought-provoking.


Sep 22, 2018

very good

par Devendra S

Sep 20, 2018

Very nice intro to ML model evolution.

par Joydeep G

Sep 25, 2018

Very good.

par Yusuf T T

Sep 13, 2018

Nice course. Starting from basics showing concepts clearly. I really liked it.

par Liang-Yao W

Sep 14, 2018

Fluent flow of introduction using examples. Gives an overview of the ML process concepts and tips. Detailed concepts are only mentioned quickly, so to fully benefit from the course would probably require some prior experience in ML. Valuable insights and summary from experienced ML engineer are provided in this course.

par Harold L M M

Sep 15, 2018

A very good introduction to ML and to important tools to use on the creating and tuning and optimization of ML models.

Thank you.

par Zakir U S

Aug 10, 2018

Worth Learning..

par Joanne F

Aug 11, 2018

Great course. Excellent examples.


Aug 12, 2018

Learning tips and tricks for practical machine learning problems.

par Shuo D

Aug 28, 2018

Lab and the hand-on session were very useful! Also, the tip of using mod + rand() helps me to solve my own problem! Good job!

par Santanu B

Aug 14, 2018

Excellent points discussed.

par Enrico A

Sep 01, 2018

This course builds on the previous one. Although use is still made of Google cloud, the course becomes more interesting, since the teachers provide their practical insight in the preparation of data for machine learning without focusing too much on Google. The history of machine learning is very interesting and the labs very useful in understanding the main pitfalls associated with the preprocessing step.

par Ruaan V

Sep 01, 2018

really good intro in ML worl

par Mikkel B

Aug 19, 2018

Great overview of ML essentials

par Jay M

Aug 20, 2018

Overall Course was awesome

par Lovi R G

Sep 03, 2018

Well designed and evenly delivered

par Bello G

Sep 04, 2018

Great course!! Learnt alot about neural networks and tensor flow playground

par Marcelo f

Oct 20, 2018

Leads you through the right path to learn ML

par Fernando N

Oct 23, 2018


par Mohan N

Oct 23, 2018

Practical ML