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11. Introduction to Machine Learning

machine learning

classification method

Minkowski metric

supervised learning

computer modelling

signal-to-noise

feature vectors

classification model

regression model

Автор: MIT OpenCourseWare

Загружено: May 19, 2017

Просмотров: 1,711,631 views

Описание:

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

11. Introduction to Machine Learning

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