Enhancing Predictive Modeling with Human-Like Intelligence: A Deep Feature Synthesis Approach
DOI:
https://doi.org/10.29070/cjnvh988Keywords:
Deep Features synthesis, Predictive modeling, artificial Intelligence, HLIAbstract
In this work, we create the Data Science Machine, an automated tool for extracting predictive models from unprocessed data. We initially propose and build the Deep Feature Synthesis method for automatically creating features for relational datasets in order to accomplish this automation. The pursuit of Human-Like Intelligence (HLI) in AI systems, the creation of emotionally intelligent AI, and the possible convergence of XAI with cognitive sciences are all further explored in this study. The advancement of artificial intelligence (AI) towards Artificial General Intelligence (AGI) raises important questions about consciousness, ethics, and social consequences.
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