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| ===== 講義に用いる資料 ===== | ===== データマイニング ===== |
| | ==== 講義に用いる資料 ==== |
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| * [[https://introtodeeplearning.com/]] © Alexander Amini and Ava Soleimany, MIT 6.S191: Introduction to Deep Learning, [[https://introtodeeplearning.com/|IntroToDeepLearning.com]] | * [[https://introtodeeplearning.com/]] © Alexander Amini and Ava Soleimany, MIT 6.S191: Introduction to Deep Learning, [[https://introtodeeplearning.com/|IntroToDeepLearning.com]] |
| * [[https://deeplearningbook.org/]] Ian Goodfellow and Yoshua Bengio and Aaron Courville (2016) Deep Learning, MIT Press. | * [[https://deeplearningbook.org/]] Ian Goodfellow and Yoshua Bengio and Aaron Courville (2016) Deep Learning, MIT Press. |
| * [[http://faculty.marshall.usc.edu/gareth-james/ISL/]] Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2014) An Introduction to Statistical Learning | * [[http://faculty.marshall.usc.edu/gareth-james/ISL/]] Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (2014) An Introduction to Statistical Learning with Applications in R, Springer. |
| with Applications in R, Springer. | |
| * [[https://web.stanford.edu/~hastie/ElemStatLearn/]] Trevor Hastie, Robert Tibshirani and Jerome Friedman (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Eds., Springer. | * [[https://web.stanford.edu/~hastie/ElemStatLearn/]] Trevor Hastie, Robert Tibshirani and Jerome Friedman (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Eds., Springer. |
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