Top Rated Neuton AutoML Alternatives
It will hep you to build AI models with less hesitation and minimal coding. One can easily integrate downloaded code. You can be a data scientist expert by using this. Review collected by and hosted on G2.com.
As I'm exploring this tool day by day it looks perfect to me. There is nothing that i dont like as now. But as i said will keep exploring this tool to be more familiar with this. Review collected by and hosted on G2.com.
16 out of 17 Total Reviews for Neuton AutoML
Neuton AutoML its the ability to automate the process of building and deploying ML models. This can save significant time and effort for data scientists, developers, and other users who may not have deep expertise in ML. Additionally, it is easy to use and requires minimal coding, which makes it accessible for non-technical users. Review collected by and hosted on G2.com.
It might not be able to achieve the same level of performance as models created by human experts. Additionally, the software might require a significant amount of data to train the models, which could be an issue for some users. Review collected by and hosted on G2.com.
There is no need to code anything, as all the ML/AI algorithms are available in the system. So the user can concentrate on his dataset. So everyone can use it with basic knowledge of ML/AI. Review collected by and hosted on G2.com.
It is based on the Google Cloud platform. So its active account is required to use the system and create models. Review collected by and hosted on G2.com.
Neuton AutoML is a SaaS tool which helps me in process get automate in very few steps. The user friendly UI and easy approach helps any analyst trains the models in easy way. No efficient coding knowledge is required to work on Neuton. Review collected by and hosted on G2.com.
I find Neuton to be my best problem solver - nothing to dislike. The one concern is it can be further improved to accept data directly from various DB servers and from web. Review collected by and hosted on G2.com.
In designing tinyML based applications, there are several important things related to the domain that needs to be anlalyzed. The domain specialist should not be needlessly constrained with the task of understanding data science models or python coding or how they play out for embedded devices. Even if those are handled, comes the next hurdle of deciding on the cloud infrastructure, allocating the resources, cost control etc. All these prevents the domain specialists from focussing on the primary objective on hand. Moreover, several iterations are required to reach the final application. In this scenario, where knowledge from several technical domains are also required, Neuton AutoML makes the whole job far far simpler and allows greater productivity and more efficient solutions Review collected by and hosted on G2.com.
Given that there are many free resources available with regard to autoML and even cloud infrastructure, and though Neuton brings everything in one place and thereby provides a platform for simplicity and productivity, still the current tariff should be analyzed with regard to the target audience. It could be more granular and usage based. Review collected by and hosted on G2.com.
It's very easy to get started with Neuton AI without any prior ML experience. Also a very helpful support team Review collected by and hosted on G2.com.
Nothing to complain about at this point. Review collected by and hosted on G2.com.
No Code functionality - it required minimal fuss and low coding aptitude to get started. Was able to work on smart energy meters for a holistic initial experience, although would require more time to get acquainted with the product. Review collected by and hosted on G2.com.
It was a little difficult to start with documentation, but slowly got a hang of it. Review collected by and hosted on G2.com.
Very few tiny ML platforms available in the market, it has model explainability, and experiment tracking its makes easy to track models. Review collected by and hosted on G2.com.
How model refresh will be taken care of here, for all tiny models might need to be retrained in the edge device itself to refresh the model, federated learning concept is not available this will specifically be used for healthcare where data is rare to get Review collected by and hosted on G2.com.
Very simple and clear interface, most necessary actions are executed in a single mouse click throughout the Neuton automatic pipeline. Review collected by and hosted on G2.com.
In the data preparation pipeline you can only delete irrelevant features, and sometimes it is necessary to rename columns or change values. It would be great to have such capabilities in the web interface. Review collected by and hosted on G2.com.
