Data Science: House Price Regression (11c)
Video Lecture from the course INST 414: Advanced Data Science at UMD's iSchool.
Full course information here:
http://www.umiacs.umd.edu/~jbg/teaching/INST_414/
Видео Data Science: House Price Regression (11c) канала Jordan Boyd-Graber
Full course information here:
http://www.umiacs.umd.edu/~jbg/teaching/INST_414/
Видео Data Science: House Price Regression (11c) канала Jordan Boyd-Graber
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
![[Lecture] How Computers (like Watson) use Statistical Techniques to Answer Questions](https://i.ytimg.com/vi/8BDjw1f5Jb4/default.jpg)
[Lecture] How Computers (like Watson) use Statistical Techniques to Answer Questions
Data Science: Supervised vs. Unsupervised, Discrete vs. Continuous (00c)![Computational Semantics: How Computers Know what Words Mean [Lecture]](https://i.ytimg.com/vi/xJKBImsaaO8/default.jpg)
Computational Semantics: How Computers Know what Words Mean [Lecture]
Perceptron: Structured Decoding Example![Deconfounding Subject’s Demographic Characteristics in QA [2021 EMNLP Research Talk]](https://i.ytimg.com/vi/Hopd3oHfoYk/default.jpg)
Deconfounding Subject’s Demographic Characteristics in QA [2021 EMNLP Research Talk]![The Viterbi Algorithm for Finding a Sentence's Parts of Speech with a Hidden Markov Model [Lecture]](https://i.ytimg.com/vi/cGjWlHO1x6U/default.jpg)
The Viterbi Algorithm for Finding a Sentence's Parts of Speech with a Hidden Markov Model [Lecture]![What does it mean for Artificial Intelligence to be "fair"? [Lecture]](https://i.ytimg.com/vi/8sV6EJmYxuY/default.jpg)
What does it mean for Artificial Intelligence to be "fair"? [Lecture]![Explaining AI Decisions: Calibration [Lecture]](https://i.ytimg.com/vi/-OOJK9StLCk/default.jpg)
Explaining AI Decisions: Calibration [Lecture]![Am I Smarter than my Students' Homework? Professor vs. Computer Quiz Bowl [Expo]](https://i.ytimg.com/vi/0mfDNGcCt14/default.jpg)
Am I Smarter than my Students' Homework? Professor vs. Computer Quiz Bowl [Expo]
Why I Teach Useless Machine Learning Algorithms![How computers answer "why" or "how" (long) questions? And why is it so hard to evaluate? [Lecture]](https://i.ytimg.com/vi/MeaJ3ADmbPo/default.jpg)
How computers answer "why" or "how" (long) questions? And why is it so hard to evaluate? [Lecture]![Citation Mistakes in Machine Learning Papers [Communication]](https://i.ytimg.com/vi/B8_aCjhSjjM/default.jpg)
Citation Mistakes in Machine Learning Papers [Communication]
Human-Computer QA: Dynamic Memory Networks for Visual and Textual Question Answering
Optimizing ML for Society
Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA![The Shannon Game, Entropy, and the Power of Predicting Language [Lecture]](https://i.ytimg.com/vi/0shft1gokac/default.jpg)
The Shannon Game, Entropy, and the Power of Predicting Language [Lecture]![Use Cases of Application-Grounded Evaluation with Human Subjects [Lecture]](https://i.ytimg.com/vi/TpuvPEDKcWY/default.jpg)
Use Cases of Application-Grounded Evaluation with Human Subjects [Lecture]
Tournament Recap![Human-Centered Evaluation of NLP Explanations: Conclusion [Lecture]](https://i.ytimg.com/vi/2MioDtlE8gY/default.jpg)
Human-Centered Evaluation of NLP Explanations: Conclusion [Lecture]
Interactive Refinement of Cross-Lingual Word Embeddings