Learning From Data: Introductory Machine Learning Course [2012, ENG]
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Files
| Lecture 01 - The Learning Problem (April 3, 2012).mp4 | 201.32 MB | ||
| Lecture 02 - Is Learning Feasible (April 5, 2012).mp4 | 185.31 MB | ||
| Lecture 03 -The Linear Model I (April 10, 2012).mp4 | 175.06 MB | ||
| Lecture 04 - Error and Noise (April 12, 2012).mp4 | 148.4 MB | ||
| Lecture 05 - Training Versus Testing (April 17, 2012).mp4 | 185.76 MB | ||
| Lecture 06 - Theory of Generalization (April 19, 2012).mp4 | 182.23 MB | ||
| Lecture 07 - The VC Dimension (April 24, 2012).mp4 | 168.04 MB | ||
| Lecture 08 - Bias-Variance Tradeoff (April 26, 2012).mp4 | 176.18 MB | ||
| Lecture 09 - The Linear Model II (May 1, 2012).mp4 | 206.51 MB | ||
| Lecture 10 - Neural Networks (May 3, 2012).mp4 | 193.08 MB | ||
| Lecture 11 - Overfitting (May 8, 2012).mp4 | 184.75 MB | ||
| Lecture 12 - Regularization (May 10, 2012).mp4 | 173.94 MB | ||
| Lecture 13 - Validation (May 15, 2012).mp4 | 205.24 MB | ||
| Lecture 14 - Support Vector Machines (May 17, 2012).mp4 | 178.48 MB | ||
| Lecture 15 - Kernel Methods (May 22, 2012).mp4 | 188.44 MB | ||
| Lecture 16 - Radial Basis Functions (May 24, 2012).mp4 | 183.24 MB | ||
| Lecture 17 - Three Learning Principles (May 29, 2012).mp4 | 186.46 MB | ||
| Lecture 18 - Epilogue (May 31, 2012).mp4 | 176.42 MB | ||
| Slides | |||
| iTunesU_Lecture01_April_03.pdf | 293.63 KB | ||
| iTunesU_Lecture02_April_05.pdf | 515.06 KB | ||
| iTunesU_Lecture03_April_10.pdf | 1.04 MB | ||
| iTunesU_Lecture04_April_12.pdf | 992.32 KB | ||
| iTunesU_Lecture05_April_17.pdf | 497.17 KB | ||
| iTunesU_Lecture06_April_19.pdf | 296.33 KB | ||
| iTunesU_Lecture07_April_24.pdf | 408.62 KB | ||
| iTunesU_Lecture08_April_26.pdf | 364.71 KB | ||
| iTunesU_Lecture09_May_01.pdf | 728.44 KB | ||
| iTunesU_Lecture10_May_03.pdf | 391.05 KB | ||
| iTunesU_Lecture11_May_08.pdf | 743.69 KB | ||
| iTunesU_Lecture12_May_10.pdf | 628.88 KB | ||
| iTunesU_Lecture13_May_15.pdf | 739.3 KB | ||
| iTunesU_Lecture14_May_17.pdf | 242.73 KB | ||
| iTunesU_Lecture15_May_22.pdf | 478.19 KB | ||
| iTunesU_Lecture17_May_29.pdf | 438.52 KB | ||
| iTunesU_Lecture18_May_31.pdf | 243.41 KB | ||
| ▲ 35 total files | |||
Description
Обучающие видео » Компьютерные видеоуроки и обучающие интерактивные DVD » Программирование (видеоуроки)
Learning From Data: Introductory Machine Learning Course
Год выпуска: 2012
Производитель: CalTech University
Сайт производителя: http://work.caltech.edu/library/
Автор: Professor Yaser Abu-Mostafa
Продолжительность: ~24 часа
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: Теоритический курс по машинному обучению от Калифорнийского Технического Университета. Дата выпуска 2012 год.
[spoiler="Содержание"]
Lecture 1: The Learning Problem
Lecture 2: Is Learning Feasible?
Lecture 3: The Linear Model I
Lecture 4: Error and Noise
Lecture 5: Training versus Testing
Lecture 6: Theory of Generalization
Lecture 7: The VC Dimension
Lecture 8: Bias-Variance Tradeoff
Lecture 9: The Linear Model II
Lecture 10: Neural Networks
Lecture 11: Overfitting
Lecture 12: Regularization
Lecture 13: Validation
Lecture 14: Support Vector Machines
Lecture 15: Kernel Methods
Lecture 16: Radial Basis Functions
Lecture 17: Three Learning Principles
Lecture 18: Epilogue
+ Lecture Slides
[/spoiler]
Файлы примеров: отсутствуют
Формат видео: MP4
Видео: MPEG4 Video (H264) 640x360 29.97fps 251kbps
Аудио: AAC 44100Hz mono 91.2kbps
[spoiler="Скриншоты"]
[/spoiler]
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