MIT 15.071 The Analytics Edge, Spring 2017 5.3.9 How IBM Built a Jeopardy Champion - Video 5: How Watson Works - Steps 3 and 4
5.3.9 How IBM Built a Jeopardy Champion - Video 5: How Watson Works - Steps 3 and 4 Transcript and Lesson Notes
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Scoring and ranking the hypotheses. License: Creative Commons BY-NC-SA More information at htt
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Scoring and ranking the hypotheses. License: Creative Commons BY-NC-SA More information at htt
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: Allison O'Hair Scoring and ranking the hypotheses. License: Creative Commons BY-NC-SA More information at htt
- Understand how 15-071-the-analytics-edge-spring-2017 fits into 5.3.9 How IBM Built a Jeopardy Champion - Video 5: How Watson Works - Steps 3 and 4.
- Understand how confidence levels fits into 5.3.9 How IBM Built a Jeopardy Champion - Video 5: How Watson Works - Steps 3 and 4.
- Understand how lightweight scoring fits into 5.3.9 How IBM Built a Jeopardy Champion - Video 5: How Watson Works - Steps 3 and 4.
- Understand how passage search fits into 5.3.9 How IBM Built a Jeopardy Champion - Video 5: How Watson Works - Steps 3 and 4.
Key Concepts
Full Transcript
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Scoring and ranking the hypotheses. 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 5.3.9 How IBM Built a Jeopardy Champion - Video 5: How Watson Works - Steps 3 and 4 about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Scoring and ranking the hypotheses. License: Creative Commons BY-NC-SA More information at htt
What key concepts are covered in this lesson?
The lesson covers 15-071-the-analytics-edge-spring-2017, confidence levels, lightweight scoring, passage search, scoring componants.
What should I learn before 5.3.9 How IBM Built a Jeopardy Champion - Video 5: How Watson Works - Steps 3 and 4?
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, confidence levels, lightweight scoring, passage search.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
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