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Cloud Machine Learning Engine Review

Cloud Machine Learning Engine
Our score: 9.6 User satisfaction: 90%

What is Cloud Machine Learning Engine?

Cloud Machine Learning Engine is a cloud-based predictive analytics modelling platform for data of all sizes. The application is equipped with a framework that powers various Google services such as Google Photos and Google Cloud Speech.

With Cloud Machine Learning Engine, developers can utilize the framework to create a model and scale as needed. On top of that, it can be used for managing models for extensive and group predictions.

Cloud Machine Learning Engine also offers integration with Google Cloud Dataflow, enabling users to view and retrieve information from different data storage sources.

Moreover, Cloud Machine Learning Engine models can be instantly made available to other users via Google’s global prediction platform. This lets users all over the world employ the shared models to process their own data and receive predictions.

Overview of Cloud Machine Learning Engine Benefits

Scalable Machine Learning

With the Cloud Machine Learning Engine’s TensorFlow framework, users can design machine learning models of different sizes for any kind of data. The platform can train models in a group and manage them for exhaustive and set predictions that can be utilized by a multitude of users and can support huge amounts of data.

Integrated Platform

Cloud Machine Learning Engine can be connected to Google Cloud Dataflow. This enables users to access data in different cloud data repositories such as Google Cloud Storage and Google BigQuery among others. This way, they can easily pull and push information from and to various services.

Automatic Scaling

Cloud Machine Learning Engine scales to accommodate the needs of users. The application’s connection to the Google global load balancing servers lets developed applications scale automatically and be accessible to users in any part of the world. On top of that, the platform supports the smooth transition from training to prediction via its web-based prediction services.

Tuned Up Models

Cloud Machine Learning Engine comes with HyperTune, a tool that automates models training. This enables users to see results at a faster pace with the use of innovative optimization methods.

Furthermore, the platform provides users with an interface where they can manage all their experiments in the cloud with ease.

Neural Network Learning

Google’s Cloud Machine Learning Engine is equipped with deep learning capabilities. This means that it is able to run any type of TensorFlow model, allowing developers to create models for a wide breadth of scenarios.

Overview of Cloud Machine Learning Engine Features

  • TensorFlow Framework
  • Prediction Services
  • HyperTune
  • Cloud Datalab
  • Portable Models
  • Machine Learning Samples Sharing

Cloud Machine Learning Engine Position In Our Categories

Keeping in mind businesses have specific business needs, it is reasonable they avoid settling on an all-encompassing, ideal software. Just the same, it would be hard to try to pinpoint such a software system even among well-known software products. The reasonable thing to undertake would be to spell out the varied key factors which entail analysis such as key features, budget, technical skill capability of staff, business size, etc. After which, you should conduct the product research comprehensively. Read these Cloud Machine Learning Engine review articles and look into each of the solutions in your shortlist more closely. Such detailed product research makes sure you stay away from unfit applications and pay for the system which has all the benefits you require business requires to realize efficiency.

Position of Cloud Machine Learning Engine in our main categories:

TOP 1

Cloud Machine Learning Engine is top 1 Artificial Intelligence Software product

If you are considering Cloud Machine Learning Engine it may also be beneficial to examine other subcategories of Artificial Intelligence Software gathered in our database of B2B software reviews.

It is important to realize that virtually no app in the Artificial Intelligence Software category will be a perfect solution that can fulfill all the requirements of all company types, sizes and industries. It may be a good idea to read a few Cloud Machine Learning Engine Artificial Intelligence Software reviews first as some solutions may perform well just in a really small set of applications or be prepared with a very specific industry in mind. Others can work with an intention of being simple and intuitive and consequently lack complicated functionalities desired by more experienced users. You can also come across solutions that support a large group of users and offer a powerful feature toolbox, but this usually comes at a more expensive price of such a solution. Be certain that you're aware of your needs so that you buy a solution that has exactly the elements you search for.

How Much Does Cloud Machine Learning Engine Cost?

Cloud Machine Learning Engine Pricing Plans:

Free Trial

Model Training US

$0.49/hour/ML Training UNit

Model Training Europe/ASIA

$0.54/hour/ML Training Unit

Prediction US

$0.10/thousand predictions + $0.40/hour

Prediction Europe

$0.11/thousand predictions + $0.44/hour

Cloud Machine Learning Engine is available in a free-to-use edition and a paid edition. The following is a summary of enterprise pricing plans for the paid version.   Give the details a look, and select the best plan for your business.

Model Training

  • US – $0.49/hour/ML Training UNit
  • Europe/ASIA – $0.54/hour/ML Training Unit

Prediction

  • US – $0.10/thousand predictions + $0.40/hour
  • Europe – $0.11/thousand predictions + $0.44/hour

 

User Satisfaction

Positive Social Media Mentions 60
Negative Social Media Mentions 4

We realize that when you make a decision to buy Artificial Intelligence Software it’s important not only to see how experts evaluate it in their reviews, but also to find out if the real people and companies that buy it are actually satisfied with the product. That’s why we’ve created our behavior-based Customer Satisfaction Algorithm™ that gathers customer reviews, comments and Cloud Machine Learning Engine reviews across a wide range of social media sites. The data is then presented in an easy to digest form showing how many people had positive and negative experience with Cloud Machine Learning Engine. With that information at hand you should be equipped to make an informed buying decision that you won’t regret.

Technical details

Devices Supported

  • Windows
  • Mac
  • Web-based

Deployment

  • Cloud Hosted
  • Open API

Language Support

  • English

Pricing Model

  • Free
  • Monthly payment

Customer Types

  • Small Business
  • Large Enterprises
  • Medium Business
  • Freelancers

What Support Does This Vendor Offer?

  • email
  • phone
  • live support
  • training
  • tickets

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Cloud Machine Learning Engine Comparisons

Cloud Machine Learning Engine user reviews

A well-organized engine

Read full review >
Viviane
5/5

Overall impression

4/5

Customer Support

4/5

Value for Money

5/5

Ease of Use

Published on: 01.12.2019 Company Size: Industry: N/A

A review of Google’s ML from a developer

Read full review >
Garrison
4/5

Overall impression

4/5

Customer Support

3/5

Value for Money

4/5

Ease of Use

Published on: 28.11.2019 Company Size: Industry: N/A

Amateur user’s review

Read full review >
Kitty
4/5

Overall impression

3/5

Customer Support

3/5

Value for Money

3/5

Ease of Use

Published on: 26.11.2019 Company Size: Industry: N/A

My experience using Google’s ML API

Read full review >
Lula
5/5

Overall impression

5/5

Customer Support

4/5

Value for Money

5/5

Ease of Use

Published on: 19.11.2019 Company Size: Industry: N/A

The automated ML holds promise

Read full review >
Westley
4/5

Overall impression

3/5

Customer Support

3/5

Value for Money

4/5

Ease of Use

Published on: 14.11.2019 Company Size: Industry: Computer Software

What are Cloud Machine Learning Engine pricing details?

Cloud Machine Learning Engine Pricing Plans:

Free Trial

Model Training US

$0.49/hour/ML Training UNit

Model Training Europe/ASIA

$0.54/hour/ML Training Unit

Prediction US

$0.10/thousand predictions + $0.40/hour

Prediction Europe

$0.11/thousand predictions + $0.44/hour

Cloud Machine Learning Engine is available in a free-to-use edition and a paid edition. The following is a summary of enterprise pricing plans for the paid version.   Give the details a look, and select the best plan for your business.

Model Training

  • US – $0.49/hour/ML Training UNit
  • Europe/ASIA – $0.54/hour/ML Training Unit

Prediction

  • US – $0.10/thousand predictions + $0.40/hour
  • Europe – $0.11/thousand predictions + $0.44/hour

 

What integrations are available for Cloud Machine Learning Engine?

Cloud Machine Learning Engine integrates with the following business systems and applications.

  • Google Cloud Storage
  • Google BigQuery

 

Cloud Machine Learning Engine average rating:

Average score
4.2/5 (17 user reviews)
4/5

Overall impression

5/5

Customer Support

4/5

Value for Money

4/5

Ease of Use

Write your own review of this product

ADD A REVIEW

The most favorable review

Annette

PROS: This engine is the fastest I have worked with and has enabled our business to solve so many problems. On top of that, it is user-friendly.

CONS: There is nothing I do not like about this for now.

Reviewed 6 months ago

Read full review >

The least favorable review

Antonina

PROS: Google Cloud ML enabled me to train complicated models without investing in expensive hardware. With its help, we can improve our ML models without high costs.

CONS: There are times when the engine is not performing as expected.

Reviewed 5 months ago

Read full review >

More reviews from 17 actual users:

Sort by:

Latest
  • Latest
  • Most useful
  • Most positive
  • Most negative

A well-organized engine

Read full review >
Viviane
5/5

Overall impression

4/5

Customer Support

4/5

Value for Money

5/5

Ease of Use

Published on: 01.12.2019 Company Size: Industry: N/A

PROS: The tutors of Google Cloud ML were very thorough and the training they offered was systematic.

CONS: There are certain aspects of the ML engine that I would like to learn more about so that I could fully understand their functions.

What do you think about this review? Great Poor

A review of Google’s ML from a developer

Read full review >
Garrison
4/5

Overall impression

4/5

Customer Support

3/5

Value for Money

4/5

Ease of Use

Published on: 28.11.2019 Company Size: Industry: N/A

PROS: This engine has the tools I need to do my tasks. Plus, they have a lot of support, which let me go through the process with ease.

CONS: Google may want to add more tools for edge computing.

What do you think about this review? Great Poor

Amateur user’s review

Read full review >
Kitty
4/5

Overall impression

3/5

Customer Support

3/5

Value for Money

3/5

Ease of Use

Published on: 26.11.2019 Company Size: Industry: N/A

PROS: I am new to ML and I have recently signed up for an online ML course that used Google Cloud ML Engine. I enjoyed the sessions and how it has advanced my knowledge of ML and skills of using the Google engine.

CONS: Bootcamp should have made me aware of prerequisites days or weeks before it started, not 12 hours before.

What do you think about this review? Great Poor

My experience using Google’s ML API

Read full review >
Lula
5/5

Overall impression

5/5

Customer Support

4/5

Value for Money

5/5

Ease of Use

Published on: 19.11.2019 Company Size: Industry: N/A

PROS: The API is neat and it let me come up with a code pretty fast. I also enjoyed using other components like NLP and computer vision.

CONS: In-depth review of safe search would be beneficial in improving the feature, something that I believe cannot be achieved with ratings alone.

What do you think about this review? Great Poor

The automated ML holds promise

Read full review >
Westley
4/5

Overall impression

3/5

Customer Support

3/5

Value for Money

4/5

Ease of Use

Published on: 14.11.2019 Company Size: Industry: Computer Software

PROS: The Google Cloud Team was exceptional. They were with us through every step to ensure that we understood everything. They also increased our knowledge about the topic and we could tell that they were more learned about this particular subject than their competitors.

CONS: We are still waiting for them to expand the number of categories available.

What do you think about this review? Great Poor

About Google Cloud Machine Learning

Read full review >
Andres
4/5

Overall impression

3/5

Customer Support

4/5

Value for Money

4/5

Ease of Use

Published on: 09.11.2019 Company Size: Industry: N/A

PROS: Google Cloud ML Engine is an excellent tool that we can use for processes from end to end, such as data storage, processing, and trasnformation. What's more, I can utilize TPUs and GPUs to aid me whenever I'm dealing with more complicated algorithms.

CONS: There is no support for Python throughout and would still require Java. It has also added to our cloud costs. Plus, our ML/AI scientists struggle with using it.

What do you think about this review? Great Poor

An ML engine that is conducive for fast training

Read full review >
Louvenia
4/5

Overall impression

4/5

Customer Support

4/5

Value for Money

4/5

Ease of Use

Published on: 01.11.2019 Company Size: Industry: N/A

PROS: GC has the libraries ready for use so that we only had to get to work immediately.

CONS: If you are learning by yourself, it can be difficult to master.

What do you think about this review? Great Poor

Scalable and serverless machine learning

Read full review >
Leon
5/5

Overall impression

5/5

Customer Support

5/5

Value for Money

5/5

Ease of Use

Published on: 30.10.2019 Company Size: Industry: N/A

PROS: Google Cloud ML Engine is an excellent example of ML engine that has changed the way we train and optimize our models. It even lets us deploy our models quickly. And on top of it all, it enables serverless model training.

CONS: A bit of technical and coding knowledge is still necessary for making good use of this engine, though I guess it is understandable.

What do you think about this review? Great Poor

Everything has improved with our use of Google Cloud ML

Read full review >
Antonina
4/5

Overall impression

3/5

Customer Support

3/5

Value for Money

4/5

Ease of Use

Published on: 22.09.2019 Company Size: Industry: N/A

PROS: Google Cloud ML enabled me to train complicated models without investing in expensive hardware. With its help, we can improve our ML models without high costs.

CONS: There are times when the engine is not performing as expected.

What do you think about this review? Great Poor

Easy to understand when you have the background

Read full review >
Isaiah
4/5

Overall impression

3/5

Customer Support

4/5

Value for Money

3/5

Ease of Use

Published on: 18.09.2019 Company Size: Industry: N/A

PROS: I can only hope that Google will enhance their user experience for the engine. Despite that, we enjoyed the use of this engine because we were able to deploy our model and we did not have to go through a long set up to do so.

CONS: A certain level of analytical and technical skill is necessary to make this work.

What do you think about this review? Great Poor

If you want to enhance your ML research, this is an important addition to your toolbox

Read full review >
Elmer
4/5

Overall impression

3/5

Customer Support

3/5

Value for Money

3/5

Ease of Use

Published on: 15.09.2019 Company Size: Industry: N/A

PROS: Other applications can help with ML processes like scikit-learn but Google Cloud ML engine is a cut above them all. It makes distributed training efficient, a benefit that rolls out to other sections as well.

CONS: There are no easy-to-understand resources that talk about how to exploit ML for hyper-parameter searches and model training.

What do you think about this review? Great Poor

This engine democratizes machine learning

Read full review >
Ella
4/5

Overall impression

3/5

Customer Support

3/5

Value for Money

3/5

Ease of Use

Published on: 14.09.2019 Company Size: Industry: N/A

PROS: Cloud ML has revolutionized the way we handle and solve some business problems. With its help, we have more accurate predictions of our customers' behaviors so that we could adapt our strategies.

CONS: Additional support and learning resources would be appreciated, especially when it comes to architecture building. It would also be great if there are materials for both beginners and advanced users.

What do you think about this review? Great Poor

It’s all about the accuracy and the interface

Read full review >
Moshe
4/5

Overall impression

3/5

Customer Support

3/5

Value for Money

3/5

Ease of Use

Published on: 09.09.2019 Company Size: Industry: N/A

PROS: There is nothing like Google's ML engine interface. It even has a start document that displays different programming languages.

CONS: It takes too long to train a model with just a small data set.

What do you think about this review? Great Poor

About my experience with Google Cloud ML Engine

Read full review >
Pink
4/5

Overall impression

4/5

Customer Support

4/5

Value for Money

3/5

Ease of Use

Published on: 09.09.2019 Company Size: Industry: N/A

PROS: The resources were very helpful in guiding me on how to integrate the ML engine with my work in GCP.

CONS: The lab sessions could have been longer so that we could have been more prepared in handling the actual engine.

What do you think about this review? Great Poor

Simple yet amazing

Read full review >
Marshall
5/5

Overall impression

4/5

Customer Support

5/5

Value for Money

5/5

Ease of Use

Published on: 09.09.2019 Company Size: Industry: N/A

PROS: This engine has allowed individuals in our company who are not so familiar with ML to learn how to use it as well as utilize the engine via APIs. This simplicity is one of a kind and we appreciate it very much.

CONS: Visual assistance while learning Tensorflow would be wonderful so that we can be sure that we are heading in the right direction.

What do you think about this review? Great Poor

Top choice for deploying serverless models

Read full review >
Dejah
4/5

Overall impression

4/5

Customer Support

4/5

Value for Money

4/5

Ease of Use

Published on: 02.09.2019 Company Size: Industry: N/A

PROS: There is no difficulty in integrating APIs. The engine is also a convenient method for prediction-making.

CONS: It would be nice if the engine could expand its library support.

What do you think about this review? Great Poor

The best choice for rapid machine learning

Read full review >
Annette
5/5

Overall impression

5/5

Customer Support

4/5

Value for Money

5/5

Ease of Use

Published on: 23.08.2019 Company Size: Industry: N/A

PROS: This engine is the fastest I have worked with and has enabled our business to solve so many problems. On top of that, it is user-friendly.

CONS: There is nothing I do not like about this for now.

What do you think about this review? Great Poor
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Reviewed By Nestor Gilbert
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