Google Cloud AutoML Reviews & Product Details

Google Colud AutoML makes it very easy to train high-quality machine learning models without requiring deep ML expertise .the interface is intuitive , the decumentation is clear and the integration with other Google could services is seamless. Review collected by and hosted on G2.com.

The pricing can be expensive for small projects or students Review collected by and hosted on G2.com.

Google AutoML kit is one of the best platforms for developers of Machine Learning, as the main benefit is that it is from Google and ML is highly affected by Google. In that manner, Google's AutoML kit provides very sophisticated ML techniques and algorithms support. In addition to that, the performance and accuracy of AutoML algorithms are way better than other ML platforms. Create and train the model of any specific problems is very easy and fast. Google AutoML Algorithms and techniques can easily handle large and complex data processing and as is it on the cloud, I get extremely good GPU support that would rather cost me thousands of bucks. It really makes the difference in how I develop ML applications. Review collected by and hosted on G2.com.

One thing I believe can be improved that Google can get know regarding my private data sets which sometimes can be a privacy issue for some users. So, Google may introduce some private data loading techniques on AutoMl platform. Other than that there are not any major issues in it. Review collected by and hosted on G2.com.

This helped our company improve decision-making more quickly and easily. Faced with a set of data of interest, AutoML extracts the dataset of interest from users and determines a high-performance network architecture. It's the quick and easy way to get started quickly and obtain sophisticated models later. Ease of use and the ability to hire interns to tag photos so the senior team can focus on the technology. Review collected by and hosted on G2.com.

There is still a lot of art associated with training machine learning models. It's difficult for us to debug bad image matches. Every now and then, the beta has a flaw that I can't remove from my model. Review collected by and hosted on G2.com.

You can use Google’s human labeling service to have real-life people annotate or clean your labels to make sure your models are being trained on high-quality data. It helps to make sure your data is clean and your organization can run smoother. It has a simple interface. Review collected by and hosted on G2.com.

it has an amazing UI and provides a great interface but it is not the cheapest option out there. Especially if you need custom training the price can be pretty hefty. Review collected by and hosted on G2.com.

The tool has facilitate the creation of machine learning models that we use in other applications. Review collected by and hosted on G2.com.

There is still a lot of art associated with training machine learning models. Some scaffolding to help with how to tune models would be helpful. Review collected by and hosted on G2.com.

using cloud auto ml as a building block for complicated computer vision problems. How quickly it trains, clearly doing a great implementation of transfer learning. Review collected by and hosted on G2.com.

that i cannot take my model out. That i am tied to making predictions through the api of this service. There is no clear upfront description of data ownership, is google reserving the right to look at my training data for future model building? Review collected by and hosted on G2.com.

Google's AutoML minimizes the hand-tuning of the hyper-parameters of machine learning algorithm, such as neural networks, deep networks, to near zero. Given a dataset of interest, AutoML takes the dataset of interest from the users and determines a high performing network architecture. Review collected by and hosted on G2.com.

Given that the AutoML is proprietary software from Google, it is kind of Blackbox to the users, while understandable, users from the same domain kind of benefit from the nuances of the AutoML to deduce more intuitive inferences from insights used by AutoML to determine the network architecture. Review collected by and hosted on G2.com.

Traditionally the major problem with ml apis have been that the services have been too generic for enterprise use. Automl enables us to finally use ml api services in an enterprise context by tailoring the results to the specific use case needs Review collected by and hosted on G2.com.

Would be good to have ml automl recommendation engine Review collected by and hosted on G2.com.

Ease of use and ability to hire interns to tag photos so senior staff can focus on tech. Review collected by and hosted on G2.com.

Hard for us to debug bad imagery matches. Review collected by and hosted on G2.com.

Its the quick and easy way of up and running quickly and getting sophisticated models later on Review collected by and hosted on G2.com.

Additional modelling techniques can be added in the future. So you have what you have at a given point in time. Could be made dynamic. Review collected by and hosted on G2.com.