Serverless Machine Learning with Tensorflow on Google Cloud Platform

This course is extremely useful and unique to learn how to package and deploy machine learning models leveraging google's cloud infrastructure.

After going through this entire course I feel like I still don't have a solid grasp of how any of the serverless machine learning scripts actually worked, because it was just "read this," "run that," "push this button."

I don't feel this course is adequate preparation for doing serverless machine learning with the Cloud ML Engine.On top of all of the frustrations about the content, there's also the fact that every video for the entire course was chopped into 30 second or 1 minute intervals, making it distracting and hard to learn.

I think topics such as machine learning in GCP deserves a bit more respect.

This course was very useful for understanding of Machine learning.

It was quite useful for getting a better understanding of Machine Learning and where TensorFlow fits in the Google Stack.My recommendations is to spend more time on the TensorFlow lab review section is it it was quite short and subject was the most difficult to understand.

Great introduction on how to do scalable machine learning on Google Cloud.

Lot of time for switching between videos loved it Machine learning part is really hard without too much of previous experience especially on the python code.

Great Course, a practical way to TensorFlow The title doesn't reflect the real content of this course, it is more like an introduction to start developing on ML solutions rather than to actually getting in to production on ML google engine Complete End to end machine learning on GCP .

Must do if you are learning Machine learning Great introductory course, however, I would suggest the labs to have a little more integration with the lectures.

a bit out of date in terms of versions used Learned lot of thing to work on in future while developing your own machine learning project or model.

It would be 5 stars if not a bad quality of latest material in the course (around last lab and INCLUDING last lab, which is simply not working -- there was a package conflict issue in a notebook code -- had to find a work around in order to pass it) An excellent introduction to Machine Learning.

Best of all the courses, it has now helped me to venture into world of ML, I will try making my custom models now Good Very good course, with lots of good labs and materials.

The videos where also very good , and the review demo after each lab complement the information and help one to understand better the decisions made in several steps of Tensorflow ML programming.

Very good introduction to concepts, would give 5* if it encourages to write more code than reading code Informative and detailed Really awesome and a very well-curated course.Long courses may make you loose focus.

Very good slides which are well formulated and easy to understand very nice free course Great content with very precise and instructive techniques.

Easy way Course is very good and detailed.

Wait too long to even begin this course (wait for 5 minutes for datalab to start) ok Very good class.

A very good introduction to Tensorflow.

Very good and interesting course.

bueno pero con detalles Very good overview of Tensorflow for Data Engineers.

A very good course on TensorFlow, ML and Google MLE on GCP.

The course focuses more on basic ML concepts and less on the Google Cloud Platform specific boilerplate code.

En la vida real eso se traduce a millones de dolares en perdidas utilizando herramientas de Google Cloud Platform.

It should be:pip install --upgrade pipconda 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 good course, nice practical examples Good course on Serverless Machine Learning with Tensorflow on Google Cloud Platform LAB 7 NOT WORKING PROPERLY Very good course, plan to take the 10 day course.

Really nice introduction to ML.

Good introduction to ML, Tensorflow and Cloud ML This course is perfect to understand the principal components of TensorFlow, Recommended!

Very nice and clear introduction to ML on google.

I really liked the feature engineering part!

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 I enjoy the lectures.

The parts devoted to feature engineering and hyperparameter tuning are fully chaotic.

I liked the Cloud ML engine and feature engineering parts.

Must be valuable in real world applications Good stuff... make sure to be very comfortable with Python before enrolling, otherwise, great course :) I did not expect much, since I already worked with cloud ml before, but the points on feature engineering and model design were actually quite helpful and presented very well.

Could have explained in more detail about the functionality of Estimators and how Cloud ML Engine can be used.

Furthermore, ML Engine is renamed to AI Platform but the course material hasn't applied that change yet.

Instead it speaks about ML Engine.

I would appreciate to have more time for understanding the commands (for example for ml engine and dataflow).

Half time of course need for start lab Too much waiting time for setting up workspaces.