No-Code ML Reduces AI Lifecycle

Neuton has introduced a machine learning solution that enables customers without a machine learning background to build and train compact models without code. 

Initially, our goal was to develop an intuitive platform, where customers could produce a predictive model in 3 steps. However, producing the model which one couldn’t implement into the ecosystem was insufficient. The main component of machine learning is having the data required to produce the model, so we help the customers with data preparation, taking them through all the steps of uploading the dataset, identifying the target variable, and training the model. 

We assist our customers in converting the dataset into a readable format to produce an accurate model. Our explainability office brings insights into the data before producing a model, and once the model is built we identify the top 10 features to make precise predictions. 

We provide complete transparency relating to neural networks, explaining what’s behind the predictions, allowing our customers to dynamically change the value of any feature influencing the prediction without understanding the back-end technology. 

Watch the interview with Blair Newman to learn more about building compact models with Neuton.AI.