MIT 15.071 The Analytics Edge, Spring 2017 6.3.5 Predictive Diagnosis - Video 3: Predicting Heart Attacks Using Clustering
6.3.5 Predictive Diagnosis - Video 3: Predicting Heart Attacks Using Clustering Transcript and Lesson Notes
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Dimitris Bertsimas Measuring the performance of a benchmark algorithm for the heart attack prediction model.
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Dimitris Bertsimas Measuring the performance of a benchmark algorithm for the heart attack prediction model.
Key Takeaways
- Review the core idea: MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Dimitris Bertsimas Measuring the performance of a benchmark algorithm for the heart attack prediction model.
- Understand how 15-071-the-analytics-edge-spring-2017 fits into 6.3.5 Predictive Diagnosis - Video 3: Predicting Heart Attacks Using Clustering.
- Understand how centroid fits into 6.3.5 Predictive Diagnosis - Video 3: Predicting Heart Attacks Using Clustering.
- Understand how clusters fits into 6.3.5 Predictive Diagnosis - Video 3: Predicting Heart Attacks Using Clustering.
- Understand how learning algorithm fits into 6.3.5 Predictive Diagnosis - Video 3: Predicting Heart Attacks Using Clustering.
Key Concepts
Full Transcript
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Dimitris Bertsimas Measuring the performance of a benchmark algorithm for the heart attack prediction model. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Lesson FAQs
What is 6.3.5 Predictive Diagnosis - Video 3: Predicting Heart Attacks Using Clustering about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Dimitris Bertsimas Measuring the performance of a benchmark algorithm for the heart attack prediction model.
What key concepts are covered in this lesson?
The lesson covers 15-071-the-analytics-edge-spring-2017, centroid, clusters, learning algorithm, partitions.
What should I learn before 6.3.5 Predictive Diagnosis - Video 3: Predicting Heart Attacks Using Clustering?
Review the previous lessons in MIT 15.071 The Analytics Edge, Spring 2017, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: 15-071-the-analytics-edge-spring-2017, centroid, clusters, learning algorithm.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
Is this lesson free?
Yes. CourseHive lessons and courses are available to learn online for free.
Continue Learning
Continue this lesson in the app
Install CourseHive on Android or iOS to keep learning while you move.
