Centralized platform for enhanced automated machine learning using disparate datasets

A system comprising one or more computers and non-transitory computer-storage media storing instructions that when executed by the one or more computers, cause the one or more computers to perform operations comprising:

• receiving user specification of one or more data sources to be integrated with the system, the data sources storing datasets to be utilized to train one or more machine learning models by the system, and the datasets reflecting user interaction data;
• importing a dataset from the data source, and automatically training one or more machine learning models based on a particular machine learning model recipe of a plurality of machine learning model recipes;
• and
• implementing a first trained machine learning model of the one or more trained machine learning models, wherein the system is configured to respond to queries based on the implemented machine learning model, and wherein the responses comprise personalized recommendations.

Non-transitory computer storage storing instructions that when executed by a system of one or more computers, cause the computers to perform operations comprising:

• receiving user specification of one or more data sources to be integrated with the system, the data sources storing datasets to be utilized to train one or more machine learning models by the system, and the datasets reflecting user interaction data;
• importing a dataset from the data source, and automatically training one or more machine learning models based on a particular machine learning model recipe of a plurality of machine learning model recipes;
• and
• implementing a first trained machine learning model of the one or more trained machine learning models, wherein the system is configured to respond to queries based on the implemented machine learning model, and wherein the responses comprise personalized recommendations.