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Google Cloud Machine Learning Engine

Google Cloud Machine Learning Engine

4.3
(78)

Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

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Cloud Machine Learning Engine review by Babak H.
Babak H.
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"Google ML services rock!"

What do you like best?

Very easy to sign up and use

REST API and different language sdks

What do you dislike?

It would be nice if they offered a studio like Azure ML studio to build data-pipelines visually

What business problems are you solving with the product? What benefits have you realized?

Image analysis (i.e. multi-object, OCR)

The accuracy and performance of Google Cloud ML services are amazing

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Cloud Machine Learning Engine review by Ragvan R.
Ragvan R.
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"Best platform for developers and no one can beat here this platform "

What do you like best?

Best things about this platform is that we can work very simply and no one disturbs you nothing !! No ads and hassle free platform ...

Also google support is unbeatable ... Ho ahead with this to give your developer platform freeeee hit

What do you dislike?

Nothing is there to be disliked .. the only thing is that google should provide live chat for products other than this too.

Otherwise the platform is fantastic ... And no one here can challenge it.

Recommendations to others considering the product

I and my whole team would recommend it to fullest and to everyone ...

The people who want to learn or those who want to create will be experiencing amazing things .

What business problems are you solving with the product? What benefits have you realized?

We here at my coMpnay yawa this platform for our in company developer. They lesen and they create the best out of it.

You cantik imagine what we have done with bus great platform ... Almost every thing is best. And no one can beat as always..

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Cloud Machine Learning Engine review by Angelica F.
Angelica F.
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"Google Cloud Machine Uses and Experience"

What do you like best?

I like the amount of storage you receive to store finished training modules. These training modules are usually used over and over but differentiated for every group as needed. I also like the guidance given throughout the wizards to help ensure your finished product is awesome. This program is compatible to many devices for me to use at home and at work. The program also uses my current Google drive if I want to for personal training portfolios and modules. Google drive is easily used with Google Cloud Machine because it allows me to share and collaborate with groups. I can also share with administration as necessary and other district members because they also use the Google platform for professional use.

What do you dislike?

I disliked the way that the Google cloud machine learning did not have a common area to find previously created modules to use. This made it necessary to design from scratch. Sometimes time constraints made this difficult and time consuming.

Recommendations to others considering the product

I recommend using it in a small group before implementing on a large scale. This ensures that you have worked out many kinks and glitches.

What business problems are you solving with the product? What benefits have you realized?

I am solving the problem of more effective collaboration and training. Effective feedback can be given with the use of this software because learners can go through at their own pace. Self paced learning is essential in today's educational world. Many learners are learning differently so therefore the use of self paced training and learning is required. This software allows learners to work from anywhere and on their own time. This allows more learners to become engaged with this software and begin using it for personal and business use.

What AI Platforms solution do you use?

Thanks for letting us know!
Cloud Machine Learning Engine review by Jann K.
Jann K.
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"Bridge the gap between running models locally and distributed"

What do you like best?

If one uses TF Estimators, running any tensorflow model in a distributed manner becomes absolutely seamless. Over the last few months, the product has become really stable, reporting more detailed and kept nicely up to date with the latest version of tensorflow.

What do you dislike?

More examples on how estimators are used (Custom Estimators, Canned etc) would be great. Also, being able to run more than the current limit of 25? models in parallel would be great - we often run into our limti.

What business problems are you solving with the product? What benefits have you realized?

Not having to think about the distributed nature of running models is a key win for us. We run simple as well as complicated models on Google Cloud ML Engine. Even when running small models which will easily run on a single machine, it made sense for us to use ML Engine - we are able to run a large number of smal independent models in parallel.

Cloud Machine Learning Engine review by G2 User in Financial Services
G2 User in Financial Services
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"Google cloud Machine learning experience"

What do you like best?

I like the measure of capacity you get to store got done with preparing modules. These preparation modules are generally utilized again and again yet separated for each gathering as required. I likewise like the direction given all through the wizards to help guarantee your completed item is great. This program is good to numerous gadgets for me to use at home and at work. The program likewise utilizes my present Google drive in the event that I need to for individual preparing portfolios and modules. Google drive is effortlessly utilized with Google Cloud Machine since it enables me to share and work together with gatherings. I can likewise impart to organization as essential and other area individuals since they additionally utilize the Google stage for proficient utilize.

What do you dislike?

I think it's on cloud contrasted with other machine learning stages. So once in a while need to experience extra information administration ventures keeping in mind the end goal to put organization information on cloud.

What business problems are you solving with the product? What benefits have you realized?

Have utilized it for a wide range of academic projects. Acquainted with NLP and discourse acknowledgment.

Cloud Machine Learning Engine review by Pankaj B.
Pankaj B.
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"Absolutely amazing technology"

What do you like best?

I love the ability of the GC ML engine to be able to abstract the complexities of ML algos and enable users to learn and use ML using apis. That's simplicity is really awesome!

What do you dislike?

I think that learning Tensorflow is still quite complex. It might help to have learning aids and prompts which point you in the right direction when Tensorflow does not work as expected.

Recommendations to others considering the product

Try Amazon but you won't be able to ignore Tensor flow

What business problems are you solving with the product? What benefits have you realized?

Trying to work up a virtual receptionist as a use case. I believe the best benefit is being able to scale up the infrastructure required for compute dramatically without any performance challenges.

Cloud Machine Learning Engine review by Sakthi P.
Sakthi P.
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"Google Cloud ML"

What do you like best?

I like that Google Cloud takes care of ML End to End process flow, I can use buckets to store, tools for monitoring data quality, transform data and spin off TPUs and GPUs as needed for complex algorithms.

What do you dislike?

Cloud Costs add up; Learning curve for ML/AI scientists to set up Dataflow, IOT, Pubsub etc. Python is not supported everywhere needing Java usage.

What business problems are you solving with the product? What benefits have you realized?

Business problems in Agriculture, Medicine, Supply Chain Optimization, Health care

Benefits: Better Monitoring of farming resources via processing satellite imagery, streamline Supply Chain operations and reduce backlog effectively, Generative design models for drugs, material science products, Automated Patient monitoring to save lives.

Cloud Machine Learning Engine review by G2 User in Telecommunications
G2 User in Telecommunications
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"As a data scientist, I work on ML algorithms using google cloud"

What do you like best?

The best of google cloud machine learning is it’s speed. I get minimal latency in my work compared to other data lake option we had in past. Also, I like the way google cloud provides an option to stich my company data with google adwords and double click data. Plus automated machine learning provided by google and tensorflow is additional advantages.

What do you dislike?

I find google cloud ML a decent product but the only disadvantage I feel is it’s on cloud compared to other machine learning platforms. So sometimes have to go through additional data governance steps in order to put company data on cloud.

What business problems are you solving with the product? What benefits have you realized?

As a data scientist team we need to build churn models and propensity model. Google ML engine helps in building those models and also understanding current customers issues using NLP on their complaints.

Cloud Machine Learning Engine review by Pablo V.
Pablo V.
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"best serverless way to deploy a model"

What do you like best?

The serverless way to make predictions. Its easy to send an api call and get results in milliseconds

What do you dislike?

May be need support of a couple more libraries

Recommendations to others considering the product

Highly recommend use it for training and deployment on productive pipelines. Take care of training the model on datalab or same ML Engine so you dont have libraries incompatibilities,

What business problems are you solving with the product? What benefits have you realized?

Predicting the result of manufactory process. Benefit is the simplicity of the process and the possibility of have multiple models deployed at same time

Cloud Machine Learning Engine review by G2 User
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"Democratizing the ML"

What do you like best?

I believe that the Cloud ML has helped us to face some business challenges we could not achieve without ML. We use to predict customer behavior and improve the company knowledge about the transactions.

What do you dislike?

Although the great , I think the greatest difficult it is the lack of support and lack of materials we could use as reference to build our own architecture. The documentation could be used to help starters and experts what could be changed with different sections of that.

What business problems are you solving with the product? What benefits have you realized?

Understanding customer behavior for marketing campaigns is much easier with GCP and Cloud ML. We can do this with high performance and great model accuracy.

Cloud Machine Learning Engine review by G2 User
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"poor documentation but great tool otherwise"

What do you like best?

i like that i can use ml training and serving as a service. I can programatically set up a series of training jobs

What do you dislike?

the lack of documentation. you have to guess the concept of operation, constantly go to the help in the command line to explore what is available..... the packaging of your code is annoyingh to do the first two times since you have to guess a lot by following examples. All this could be documented better. Seems like a tool build for cloud/software engineerings trying to do ML than for ML scientist and practitioners.

What business problems are you solving with the product? What benefits have you realized?

solution as scale is the desired benefit. Building inference systems related to industrial systems.

Cloud Machine Learning Engine review by Ji Chao Z.
Ji Chao Z.
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"Must have to get to next level of ML research"

What do you like best?

Using scikit-learn with pandas and numpy is one way to do ML. But to get the efficiency of distributed training, ML Engine is a must have.

What do you dislike?

Don't have a easy to follow tutorial to learn different aspect of ML Engine. For example, how to use ML Engine to run Hyper-parameter search, how to do data-parallel training or model-parallel training.

What business problems are you solving with the product? What benefits have you realized?

Hyper-parameter tuning and data parallel training.

Cloud Machine Learning Engine review by Gyorgy G.
Gyorgy G.
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"Serverless Machine Learning at Scale"

What do you like best?

Google Cloud ML Engine is an awsome product from the Google Cloud Platform that let's you perform serverless machine learning training of models. It will also automatically optimize your models and last but not least let's you deploy your model in production in minutes.

What do you dislike?

It still requires some coding ability but I guess that's normal we are still talking about machine learning.

What business problems are you solving with the product? What benefits have you realized?

Prediction. optimization.

Cloud Machine Learning Engine review by Viswanathan V.
Viswanathan V.
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"Google Cloud Machine Learning Engine Review"

What do you like best?

The Indepth content helped us with the usage of ML and how it can be leveraged in GCP

What do you dislike?

We could have spent more time on the Lab sessions and the pre requisites in the training could help us prepare for this

What business problems are you solving with the product? What benefits have you realized?

Our use cases will be mostly on shipment analysis and improvisations.

Cloud Machine Learning Engine review by Joshy G.
Joshy G.
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"Google Tensorflow experience"

What do you like best?

The ease of describing the structure of my neural network and the ease of training it.

What do you dislike?

I canno think of anything I dislike at the moment. The interface is much cleaner after the introduciton on Keras into this framework.

Recommendations to others considering the product

Attend some training sessions

What business problems are you solving with the product? What benefits have you realized?

I am designing a classifier to startify patints into different categories based on their gene expression profiles

Cloud Machine Learning Engine review by Dan S.
Dan S.
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"ML Engine"

What do you like best?

Easy to run ML Engine jobs via gcloud ml engine commands

What do you dislike?

ML models are developed using paths to local files. Updating models to use Google Cloud Storage is difficult and there is no documentation on Google Cloud on how to do this. Also updating python scripts to use argparse is trial and error with little documentation.

What business problems are you solving with the product? What benefits have you realized?

Model for case routing

Cloud Machine Learning Engine review by Babak H.
Babak H.
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"Google ML services rock!"

What do you like best?

Very easy to sign up and use

REST API and different language sdks

What do you dislike?

It would be nice if they offered a studio like Azure ML studio to build data-pipelines visually

What business problems are you solving with the product? What benefits have you realized?

Image analysis (i.e. multi-object, OCR)

The accuracy and performance of Google Cloud ML services are amazing

Cloud Machine Learning Engine review by Tong L.
Tong L.
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"review for GCP ML API"

What do you like best?

I used the computer vision, natural language processing engine. The API support is pretty well that I can write code quickly.

What do you dislike?

Functions like Safe Search could be improved with more detailed information, instead of justing giving 0-5 ratings.

What business problems are you solving with the product? What benefits have you realized?

Image rating with possible texts. The vision problem and text problem could be both solved by ML engine.

Cloud Machine Learning Engine review by Arthur M.
Arthur M.
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"Easy to pick up if you have the experience"

What do you like best?

Ability to quickly deploy out machine learning without the setup and operational requirements needed to complete the task. Wish there was more ux involved in the machine learning engine but I'm sure that will come.

What do you dislike?

Requires some development skills and analytical skills and there isn't a simple button you can press.

What business problems are you solving with the product? What benefits have you realized?

Sentiment analysis of customers

Cloud Machine Learning Engine review by Raj B.
Raj B.
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"Full cycle Machine learning "

What do you like best?

Being able to do everything in a seamless serverless fashion.

What do you dislike?

Not everything is tied neatly. Like Firebase data cannot be streamed to Cloud Pub/Sub so we can do machine learning.

Google Speech API doesnt do transcription for longer audio files from contact center recordings

What business problems are you solving with the product? What benefits have you realized?

speech translation

matchmaking

object detection in images

Cloud Machine Learning Engine review by Firasath A.
Firasath A.
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"Learing to use Machine Learning"

What do you like best?

I am just trying to learn ML and registered in the ML boot camp. I am enjoying the lectures and how the boot camp is organized.

What do you dislike?

I got the the info. on pre-requisites just 12 or so hours before the boot camp was supposed to start.

What business problems are you solving with the product? What benefits have you realized?

Fraud, metrics, errors

Cloud Machine Learning Engine review by Hamid I.
Hamid I.
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"Google is the top leader in AI development"

What do you like best?

Google AI, having enormous resources and brilliant people have developed AI that can buffer user data and process it in no time.

What do you dislike?

What I dislike about Google AI is that they are pretty much monopolized the internet world, luckily they're still dependant on other companies.

What business problems are you solving with the product? What benefits have you realized?

Smart functions in HTML5

Cloud Machine Learning Engine review by Arthur J.
Arthur J.
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"Awesome Experience!"

What do you like best?

The functionality is awesome; ease of use is great as well.

What do you dislike?

Nothing! The platform is awesome! There's nothing I dislike.

Recommendations to others considering the product

N/A

What business problems are you solving with the product? What benefits have you realized?

None yet but I intend to develop use cases to solve current business problems in my environment!

Cloud Machine Learning Engine review by G2 User
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"Easy to use but a bit expensive"

What do you like best?

I like how everything is REST based, which makes it easy to use. Moreover, the pretrained models are really useful, esp when the hard part of doing machine learning is getting training data.

What do you dislike?

I don't like the pricing structure. For things like audio transcription and image recognition, it is fairly pricey, and there are no options to self-host the models (which is bad for hipaa complaince).

What business problems are you solving with the product? What benefits have you realized?

Have used it for a variety of different side projects and in industry. Familiar with NLP and speech recognition.

Cloud Machine Learning Engine review by G2 User in Computer Software
G2 User in Computer Software
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"AutoML is very promising"

What do you like best?

We went through an alpha with GCP particularly for AutoML. The onboarding and commitment of the Google Cloud team is an amazing experience. They seem to have to most experience on this topic compared to the other big competitors like AWS.

What do you dislike?

The amount of categories is currently fairly limited, but this should expand anytime soon.

What business problems are you solving with the product? What benefits have you realized?

We are exploring the possibilities of using AutoML to deliver more insights and intelligence to our CRM offering. We are in an early phase with this.

Cloud Machine Learning Engine review by G2 User
G2 User
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"GCP ML Review"

What do you like best?

The Ease of use of GCP ML API. It has the great ability to manage the model management , versioning and ease of deployment . The documentation is very user friendly and it support different languages

What do you dislike?

The product doesn't provide KPI meterics or the epoc time cycle as well as comparison of all deployed model for better ascore

What business problems are you solving with the product? What benefits have you realized?

Healthcare domain. Ability to identify the hospital readmission of patients. Through this API, hospital can serve better patient engagement and better outcomes.

Cloud Machine Learning Engine review by Liyang Z.
Liyang Z.
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"GCP ML"

What do you like best?

Google Cloud Machine Learning Engine has lots of build in functions in tensor flow and has datalab to run step by step.

What do you dislike?

Sometimes it takes some time to go thruogh the help ducment.

What business problems are you solving with the product? What benefits have you realized?

We are doing project for southern data scientist conference

Cloud Machine Learning Engine review by G2 User
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"Very easy to use the tensor flow"

What do you like best?

the whole framework is in place to start with. the data collection api is good. the process to sample the data and create subset is clear. like the idea of data training and prediction. bootcamp is a good start and google cloud platform is worthy registration.

What do you dislike?

would like it better to be able to register the bootcamp at home and start a free session that valid for a few days.

What business problems are you solving with the product? What benefits have you realized?

don't have to set up the whole environment manually.

Cloud Machine Learning Engine review by Shanmuga K.
Shanmuga K.
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"GCP ML"

What do you like best?

I like the fact that it is very easy to setup ML engine on GCP

What do you dislike?

Student tier compute engine jobs are very slow and takes forever.

What business problems are you solving with the product? What benefits have you realized?

We are still evaluating ML use cases.

Cloud Machine Learning Engine review by Maysam E.
Maysam E.
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"ML Engine enabled us to train and deploy large models quickly using TensorFlow."

What do you like best?

The open source TensorFlow library. Detailed tutorials that utilize pre-trained models to train specialized vision models. The model zoo.

What do you dislike?

The console can be improved with better integration with tensorboard and jupyter notebooks.

What business problems are you solving with the product? What benefits have you realized?

Automating vision tasks such as object detection.

Cloud Machine Learning Engine review by Ashish K.
Ashish K.
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"Love Googe MLE"

What do you like best?

It is a managed service which allows me to focus on code.

What do you dislike?

instructions could be simpler. I find it cumbersome to setup the model as python package.

What business problems are you solving with the product? What benefits have you realized?

My ability to prototype has improved dramatically.

Cloud Machine Learning Engine review by G2 User
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"once you have the building blocks its great"

What do you like best?

I like that it's serverless and runs deep learning jobs fairly fast. Easy for already made estimators and image processing where there is lots of examples.

What do you dislike?

It's pretty hard to figure out if you are new to it. The documentation is hard to find/ or there is lack of documentation. Hard for custom estimators to figure out debugging and tensorboard also deploying the model for me was very hard.

What business problems are you solving with the product? What benefits have you realized?

churn prediction

Cloud Machine Learning Engine review by Bibin V.
Bibin V.
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"Serverless ML dev, test and deploy"

What do you like best?

The abstraction of underlying hardware and pay for what you use.

What do you dislike?

There are model evalauations and other features available on TFX which is not available in ML Engine

What business problems are you solving with the product? What benefits have you realized?

Forecasting and new item forecat

Cloud Machine Learning Engine review by G2 User
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"Very organized. "

What do you like best?

I like that the instructors are knowledgeable, and that the training was well organized.

What do you dislike?

I would like to see more of what's happening under the hood with some of the functions. For example, in the vocabulary_to_feat_cols() function (or similar), it would be nice to understand what this actually does.

What business problems are you solving with the product? What benefits have you realized?

GCP Consulting projects as part of PSO. Benefits include: Hyperparameter tuning, storing different model versions, and visualizing training results in TensorBoard.

Cloud Machine Learning Engine review by Derek C.
Derek C.
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"Pretty good product"

What do you like best?

it's quite intuitive to use and easy once you have a set up. would definitely recommend

What do you dislike?

there is a bit of a learning curve at the beginning

What business problems are you solving with the product? What benefits have you realized?

data analytics with big data

Cloud Machine Learning Engine review by G2 User
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"End to end flow for ML Apps"

What do you like best?

can build, test , compare , neural nets at scale native to the platform - reducing time to market

What do you dislike?

Auto ML although new is a little behind and only for structured. Computer vision and audio based algos are SUPERB

What business problems are you solving with the product? What benefits have you realized?

hospital emergency room resource optimization. Quick identification on where the doctor should go - enabling better patient recovery time and atleast less alarms

Cloud Machine Learning Engine review by G2 User
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"Everything better from I started using ML cloud"

What do you like best?

I really like the opportunity to train complex models without buying any hardware in our copany, we can use very super machines and just paying the time that with use them

What do you dislike?

Somethings ML engine is not working properly

What business problems are you solving with the product? What benefits have you realized?

Basically, we are training natural language processing models using Glove and Word2vec because NLP google API is very limited so far, we hope this API can be use in customer entities.

Cloud Machine Learning Engine review by Trey H.
Trey H.
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"Use it for business needs"

What do you like best?

Everything, it has everything that you need to get the job done

What do you dislike?

Nothing really, the formatting could use tweaking.

What business problems are you solving with the product? What benefits have you realized?

It allows me to analyze my problems and recommend things to colleagues

Cloud Machine Learning Engine review by tony h.
tony h.
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"great product, easy to use"

What do you like best?

really love GCML. very easy to setup and use.

What do you dislike?

has a little learning curve to get up and running

What business problems are you solving with the product? What benefits have you realized?

being able to get up and running with Machine Learning

Cloud Machine Learning Engine review by Kashi S.
Kashi S.
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"End to End Developer Experienced"

What do you like best?

GCP machine Learning provides end to end support for a developer.

What do you dislike?

Machine learning platform needs to have some more developer tools for edge computing

What business problems are you solving with the product? What benefits have you realized?

Probems at the edge

Cloud Machine Learning Engine review by G2 User
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"Google Cloud Machine Learning Engine Review"

What do you like best?

I liked that the Google Cloud Learning Engine was easy to pick up.

What do you dislike?

The only thing that I disliked was actually getting the software to run on my computer.

Recommendations to others considering the product

Definitely give it a go because its easy to pick up.

What business problems are you solving with the product? What benefits have you realized?

Right now we are trying to make trains learn through machine learning. We haven't experienced any benefits as of yet but we are working towards it.

Cloud Machine Learning Engine review by Noh Sam P.
Noh Sam P.
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"Easy for ML experience"

What do you like best?

easy to use in cloud environment supporting a lot of machine learning algorithms

What do you dislike?

Not much capability and multiple GPU support

What business problems are you solving with the product? What benefits have you realized?

Computer Vision problem like object detection

Cloud Machine Learning Engine review by Eash C.
Eash C.
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"Easy to use and scale"

What do you like best?

The products, interfaces and interaction is easy, simple and quick to get a grasp

What do you dislike?

Nothing so far based on my observation of usage

What business problems are you solving with the product? What benefits have you realized?

Employee personalization

Cloud Machine Learning Engine review by Steven S.
Steven S.
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"Review at Google Next Conference"

What do you like best?

The on-click provisioning for the labs is working out nicely

What do you dislike?

usibility of the tools, some botton is not easy to find

What business problems are you solving with the product? What benefits have you realized?

deep learning

Cloud Machine Learning Engine review by G2 User
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"Good for fast-paced machine learning algorithms"

What do you like best?

Google cloud machine learning engine is very useful to solve every business problem. It is fast and easy to use.

What do you dislike?

There is really nothing I did not like as of now because I am a new user.

What business problems are you solving with the product? What benefits have you realized?

Last project I am working on is about predicting patient with certain problems thru EMS calls.

Cloud Machine Learning Engine review by G2 User
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"Google machine learning is very exciting"

What do you like best?

The ease with which developers can get started with advanced tools and capabilities is impressive.

What do you dislike?

I am looking forward to the capabilities Google Contact Center will provide when it's opened up to developers (and not just specific partners).

What business problems are you solving with the product? What benefits have you realized?

Support chat bots enhanced with Natural Language processing, to reduce unnecessary escalations to advanced teams.

Cloud Machine Learning Engine review by G2 User
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"Very interesting"

What do you like best?

very user friendly and intutive. can take any large set of data and churn the algorithm within in very less time

What do you dislike?

Documentation needs to be updated. There is not enough documentation around to point out to right page where my question would be addressed.

What business problems are you solving with the product? What benefits have you realized?

Predict adverse events once it is submitted by patients,HCP

Cloud Machine Learning Engine review by G2 User
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"Inexpensive and scalable"

What do you like best?

Tensorflow allows me to expirement, test with larger data and then deplow. Google Cloud ML enables those efforts really well.

What do you dislike?

Tensorflow takes a little effort when compared to other options but GCP makes it worth the effort.

What business problems are you solving with the product? What benefits have you realized?

We are exploring customer purchase behaviors and how weather impacts in store traffic.

Cloud Machine Learning Engine review by G2 User
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"I think ML engine is not user friendly."

What do you like best?

I like that the hypertune features to save my time to search the hyperparameters for the best model. Distributed training is also great.

What do you dislike?

It is not very user friendly, and does not have a GUI to submit my training job.

What business problems are you solving with the product? What benefits have you realized?

train and serve TensorFlow model without maintaining VMs.

Cloud Machine Learning Engine review by G2 User
G2 User
Validated Reviewer
Review Source
content

"Great for All Developers"

What do you like best?

Not a data scientist but Google Cloud ML makes it easy to develop and train models. Pleased to hear that it now supports SciKit Learn and XGBoost.

What do you dislike?

More tutorials and examples would be great!

What business problems are you solving with the product? What benefits have you realized?

Using it to try to find trends in patient care and patient satisfaction.

Cloud Machine Learning Engine review by G2 User
G2 User
Validated Reviewer
Review Source
content

"Amazing to pipline model training and deployment!"

What do you like best?

I love how simple it is to connect to my data sources to import models, data sources and logging.

What do you dislike?

Nothing really -- it helps to have someone walk you through it the first time.

What business problems are you solving with the product? What benefits have you realized?

We're trying to spot trends among user requests and predicting problems.

* We monitor all Google Cloud Machine Learning Engine reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. Validated reviews require the user to submit a screenshot of the product containing their user ID, in order to verify a user is an actual user of the product.