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11. Introduction to Machine Learning

11. Introduction to Machine LearningУ вашего броузера проблема в совместимости с HTML5
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: Eric Grimson In this lecture, Prof. Grimson introduces machine learning and shows examples of supervised learning using feature vectors. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Опубликовано: 19-05-2017
Теги: machine learning classification method Minkowski metric supervised learning computer modelling signal-to-noise feature vectors classification model regression model

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