Machine Learning Tool Seeks to Automate Data Science

MIT researchers will report details this week on a “data science machine” billed as being able to automatically derive predictive models from raw data using a “Deep Feature Synthesis” algorithm.The algorithm is said to automatically synthesize features for machine learning. The researchers from MIT’s Computer Science and Artificial Intelligence Laboratory said they demonstrated the “expressiveness” of the generated features on three datasets from different domains. They plan to expand those demonstrations to more datasets. Using an auto-tuning process, “we optimize the whole pathway without human involvement, enabling it to generalize to different datasets,” said researchers James Max Kanter and Kalyan Veeramachaneni in a paper to be presented at an international data science and analytics conference. The auto-tuning capability is intended as a machine-learning pathway used to extract value from synthesized…


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