Google Cloud Machine Learning Engine Reviews

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

Very easy to sign up and use

REST API and different language sdks

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

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

The accuracy and performance of Google Cloud ML services are amazing

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

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

Smart functions in HTML5

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.

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).

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

Ease to train a model using the data imported from data prep.

Latest Google tensorflow version not often supported on cloud ML.

Going great

Trying to build a human pattern learning system. Its easy, but keeps on upgrading day by day.

Google cloud, auto ml, easy, fast, secure quick trun around

getting the solution more accurateand easiest way . seamlessly.

Nothing as such. All arebest and keep inventing .nothing to complain.

tensor flow

its under evaluation, not been implemented.

Ease of using, and the documentation provided. Reliability from the brand name is assuring too.

The fear data being saved on google servers

Improving tasks like speech recognition with actually having to code for it

Ready to go models for training. It is a Awesome Engine.

Small time for processing:) It helps everyone to design NN models.

Sure..Its a good product

Vision, Image Recognition

It is simple and easy to use. Very accurate.

Authentication sometimes doesn't work in one go.

Integrated Translation and Transcription into our services.