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Retour à Serverless Machine Learning with Tensorflow on Google Cloud Platform

Avis et commentaires pour l'étudiant pour Serverless Machine Learning with Tensorflow on Google Cloud Platform par Google Cloud

4.5
2,155 notes
261 avis

À propos du cours

This one-week accelerated on-demand course provides participants a a hands-on introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn machine learning (ML) and TensorFlow concepts, and develop hands-on skills in developing, evaluating, and productionizing ML models. OBJECTIVES This course teaches participants the following skills: ● Identify use cases for machine learning ● Build an ML model using TensorFlow ● Build scalable, deployable ML models using Cloud ML ● Know the importance of preprocessing and combining features ● Incorporate advanced ML concepts into their models ● Productionize trained ML models PREREQUISITES To get the most of out of this course, participants should have: ● Completed Google Cloud Fundamentals- Big Data and Machine Learning course OR have equivalent experience ● Basic proficiency with common query language such as SQL ● Experience with data modeling, extract, transform, load activities ● Developing applications using a common programming language such Python ● Familiarity with Machine Learning and/or statistics Google Account Notes: • Google services are currently unavailable in China....

Meilleurs avis

NP

Jan 09, 2018

Thank you very much for making this course available on Coursera, I cannot agree more the knowledge of Mr Venkat. This is a great way to help people to get started with Google Machine Learning.

HM

Sep 08, 2018

A very good course on TensorFlow, ML and Google MLE on GCP.\n\nThe Labs are self contained and the problems proposed are very challenging. I learned a lot on this course.\n\nThank you!

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1 - 25 sur 255 Examens pour Serverless Machine Learning with Tensorflow on Google Cloud Platform

par Anna K

Jan 19, 2019

It was rather confusing than helpful. A great overhead of doing the same configuration stuff for the first 4 labs: They could be combined to one greater Lab. The last 7th Lab was too complicated, I lost connection to the notebook all the time and had not enough time for understanding where and how I should run the predefined commands. I rather submitted the commands without thinking how, where and why, because I did not have time to think: The lab is too big for the short period of time. I would appreciate to have more time for understanding the commands (for example for ml engine and dataflow).

par Joose R

Apr 26, 2019

I was a bit disappointed at this course. It is after all data engineering track course but it seems like it's data science for those with ample data engineering skills. The course focuses more on basic ML concepts and less on the Google Cloud Platform specific boilerplate code. The things that are specific to Google Cloud are just viewed cursorily and I didn't really get much insight to them. Other issues with the course are that it's basically one big deprecation warning. Apache Beam cannot be run on Python 3 but Python 2 is about to deprecate. Furthermore, ML Engine is renamed to AI Platform but the course material hasn't applied that change yet. Instead it speaks about ML Engine. Additionally, distributed training isn't covered very well but it's marketed that Google Cloud does distributed training on its own. So basically after this course I learned that the services used in this course are probably not used by Google because everything is deprecated and about to become obsolete and the services are quite cumbersome to use.

par Joel G

May 26, 2019

I wasted to much time every lab setting up the environment with not enough time to go through and actually understand complicated code.

par Michał J

Aug 28, 2018

To be honest this whole specialization is a scam. There is promise of preparing to Data Engineer Cert, but the course just skims most of the topics, missing a lot others entirely. Please, at least have decency not to advertise it like this and remove it from official google certification page.

par YANGYIRU

May 02, 2019

lab 7 is rubish

par Chris R

Nov 17, 2018

I appreciate the difficult problem solved during this course. The student uses many of the tools available but also gains insights on machine learning concepts in the process by working through a comlete solution. Lak is a great teacher and while it's not my first exposure to mahcine learning, this course helped me solidify concepts I've learned in others.

par Mikhail M

Nov 18, 2018

Very useful!

par Claudio I

Dec 03, 2018

a powerful tool in a practical and simple way to empower data engineers with this tool possibilities

par James W

Dec 31, 2018

Very good class. Definitely the hardest of the 5 for me because I had no experience with ML before this course. I will probably go through this class again to gain deeper insights.

par Mananai S

Dec 31, 2018

Excellent course. A very good introduction to Tensorflow. Teaches basic ML as well as more advanced topics. I liked the Cloud ML engine and feature engineering parts. Must be valuable in real world applications

par Shashank R

Jan 01, 2019

ok

par RAGHAVENDER S

Jan 28, 2019

good

par ELINGUI P U

Feb 04, 2019

Thanks Google, you are doing great work and producing great quality contents

par Atanu G

Nov 26, 2018

Quite knowledgeable. It touches all the aspects of Model building along with the Google Cloud implementation . Learned a lot out of it. Thanks a lot to Lak and team for the course

par Daniele S

Nov 27, 2018

Lot of information are contained in this short course. It's a perfect approach to ML even if it's a bit confusing if you don't have previous experience. Great course learned lot of things.

par William M

Feb 08, 2019

Good course on Serverless Machine Learning with Tensorflow on Google Cloud Platform

par Keith A

Feb 06, 2019

Very good course, plan to take the 10 day course.

par Arvind K

Feb 14, 2019

only Lab7 has troubled me due to incorrect code for the installation. It should be:pip install --upgrade pip

conda update -y -n base -c defaults conda

source activate py2env

pip uninstall -y google-cloud-dataflow

conda install pytz==2018.4

pip install google-cloud-dataflow

pip install apache-beam==2.5.0

par Mussie N

Feb 18, 2019

This is a great introductory course to Tensorflow. I prefer if you can explain some of the concepts using animation but that may be just my preference. However, I would love if you can think about it every time you explain a more complex concepts.

par Chandrasekar B

Feb 25, 2019

g

par Mark G

Mar 06, 2019

Very good introduction to the concepts of ML in GCP

par Vicente G d S

Mar 16, 2019

Hard content to learn but Labs really helped out.

par JERRIN R

Mar 17, 2019

Good Course

par Scott M

Dec 14, 2018

Detailed and incredibly useful for DE's

par Raja R G

Dec 28, 2018

Good stuff...