Introduction to Machine Learning | Part 2

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En provenance du cours de Icahn School of Medicine at Mount Sinai
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
10 notes
À partir de la leçon
Machine Learning
This module describes the mathematical concepts of supervised machine learning, the process of making predictions from examples that associate observations/features/attribute with one or more properties that we wish to learn/predict.

Rencontrer les enseignants

  • Avi Ma’ayan, PhD
    Avi Ma’ayan, PhD
    Director, Mount Sinai Center for Bioinformatics
    Professor, Department of Pharmacological Sciences

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