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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

4.4
1,820 notes
231 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.

MG

Sep 21, 2017

Great course! I've learnt a lot. The concepts where super clear. The coding part was a little difficult, I didn't understand all af it, but it's good to have a complete example to use.

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1 - 25 sur 241 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 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 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 YANGYIRU

May 02, 2019

lab 7 is rubish

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 Gokula K S

Jul 17, 2019

Nice

par Joel d S R d M

Jul 15, 2019

amei!

par Robson E d S P

Jul 14, 2019

Achei este curso LONGO de mais, para uma sprint de uma semana apenas, deveria ser 2 semanas. por isso não dou 5 star.

par Cedric C

Jul 11, 2019

Very good course to learn Tensorflow with Python on GCP with ML engineering methodolgy!

par Kiran S

Jul 07, 2019

Very Good insights on Tensorflow, Wide, Deep Machine learning, Feature Engineering and improving accuracy of machine learning, Hyperparameters and finally getting better model and deploying on the cloud

par Jafed E

Jul 06, 2019

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

par Jeferson R d S

Jul 05, 2019

very nice free course

par Khalid K

Jul 05, 2019

Great content with very precise and instructive techniques. I highly recommend.

par Cedric A W

Jul 05, 2019

Hated this course. Too many bugs! I had to settle for a 75% on Lab 7 due to unchangeable code errors (ie deprecated methods/functions)

par Egide

Jun 26, 2019

ML libraries, using data flow graphs to build models. helped me to create large-scale neural networks with many layers in the datalab.

par Danish S

Jun 26, 2019

Labs failed with Bad model error and deprecated command warnings. Please update the material to keep pace with changes from GCP

Overall the practical part of the course was not very useful for learning. There is no point in doing shift + enter - without diving into the code I don't think you can learn anything. On top of that errors and down rev material causes more confusion.

You guys need to pick up game. There are other places that are providing much better learning experience and updated course material than Coursera (e.g. Linux Academy). I'm very disappointed

par Arjun S

Jun 17, 2019

Great Course!

par Aditya C

Jun 16, 2019

Tensorflow ecosystem is vast and complicated. I believe that a better representation than the one in this course can yet be built. Awesome course but still could always use some more inputs.

par Kok S L

Jun 10, 2019

Very informative

par Thien A T

Jun 10, 2019

You will have good general knowledge about ML on Google Cloud and also have experimented through Lab course

par Aadil S

Jun 10, 2019

The course was good for the data engineers beginning with GCP, a bit more syntactical information can be added in the notebooks, it will this course even better.

par Widiarto A

Jun 09, 2019

Awesome course, but some of the technical aspect related to machine learning is still a bit confusing for me.

par Rômulo L V d S

Jun 03, 2019

Excellent course.

Great tools.

Many challenges for a data engineer.

par Suraj M

Jun 03, 2019

Got a good exposure

par steve l

May 31, 2019

Interesting contents!! I learn a few new tricks.