11. Introduction to Machine Learning

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11. Introduction to Machine Learning

MIT OpenCourseWare

0 mins
1597043+ students

📖 About This Course

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

🚀 What You'll Learn

Complete understanding of the topic

Hands-on practical knowledge

Real-world examples and use cases

Industry best practices

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