Easy and quick guide to statistics of machine learning
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Easy and quick guide to statistics of machine learning
Statistical Machine LearningSupervised Machine LearningAndreas Lindholm. Niklas Wahlstrom, Fredrik Lindsten. Thomas B. SchonVersion: March 12. 2019Fol Easy and quick guide to statistics of machine learning llow me on Llnkedln for more: Steve Nouri https://www.linkedin.com/in/stevenouri/0.1 About these lecture notesThese lecture notes arc written for the course Statistical Machine Learning IRT700. given at the Department of Information Technology. Uppsala University, spring semester 2019. They will eve Easy and quick guide to statistics of machine learning ntually be turned into a textbook. and we are very interested in all type of comments from you. our dear reader. Please send your comments to andrcas.Easy and quick guide to statistics of machine learning
lindholm@it.uu.se. Everyone who conưibutcs with many useful comments will get a free copy of the book.During the course, updated versions of these lecStatistical Machine LearningSupervised Machine LearningAndreas Lindholm. Niklas Wahlstrom, Fredrik Lindsten. Thomas B. SchonVersion: March 12. 2019Fol Easy and quick guide to statistics of machine learning 19 03-11 2019-03-12Initial version. Chapter 6 missing. Typos corrected. mainly in Chapter 2 and 5. Section 2.6.3 added. Typos corrected, mainly in Chapter 3. Chapter 6 added. Typos corrected. Typos (incl. eq. (3.25)) corrected. Typos corrected.2Contents0.1About these lecture notes................... Easy and quick guide to statistics of machine learning .............................................. 21Introduction71.1What is machine learning all alhHit?.................................................Easy and quick guide to statistics of machine learning
..... 71.2Regression and classification............................................................. 81.3Overview of these lecture notes..............Statistical Machine LearningSupervised Machine LearningAndreas Lindholm. Niklas Wahlstrom, Fredrik Lindsten. Thomas B. SchonVersion: March 12. 2019Fol Easy and quick guide to statistics of machine learning ression problem and linear regression112.1The regression problem................................................................... Il2.2The linear regression model ........................................................... 122.2.1Describe relationships — classical statistics....................... Easy and quick guide to statistics of machine learning ........... 122.2.2Predicting future outputs — machinelearning..................................... 122.3Learning the model from training data........Easy and quick guide to statistics of machine learning
............................................ 132.3.1Maximum likelihood............................................................... 142.3.2Least squStatistical Machine LearningSupervised Machine LearningAndreas Lindholm. Niklas Wahlstrom, Fredrik Lindsten. Thomas B. SchonVersion: March 12. 2019Fol Easy and quick guide to statistics of machine learning ................. 162.5Qualitative input variables.............................................................. 192.6Regularization........................................................................... 192.6.1Ridge regression................................................................. 202 Easy and quick guide to statistics of machine learning .6.2LASSO............................................................................ 202.6.3General cost function regularization.....................Easy and quick guide to statistics of machine learning
........................ 212.7Furtherreading........................................................................ 222.ADerivation of the normal equStatistical Machine LearningSupervised Machine LearningAndreas Lindholm. Niklas Wahlstrom, Fredrik Lindsten. Thomas B. SchonVersion: March 12. 2019Fol Easy and quick guide to statistics of machine learning 222.A.2A linear algebra approach ...................................................... 23Statistical Machine LearningSupervised Machine LearningAndreas Lindholm. Niklas Wahlstrom, Fredrik Lindsten. Thomas B. SchonVersion: March 12. 2019FolGọi ngay
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