Introduction to Machine Learning | Part 1

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Из курса от партнера Icahn School of Medicine at Mount Sinai
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
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Icahn School of Medicine at Mount Sinai
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Из урока
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.

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

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