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phdai:sml [10/04/2025 alle 07:34 (2 mesi fa)] – [Exams] Salvatore Ruggieriphdai:sml [08/05/2025 alle 14:09 (5 settimane fa)] (versione attuale) – [Exams] Salvatore Ruggieri
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 The course is an extract of the M.Sc. level course [[mds:sds:start|Statistics for Data Science]]. The course is an extract of the M.Sc. level course [[mds:sds:start|Statistics for Data Science]].
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 =====Instructors===== =====Instructors=====
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   * **[P]** J. Ward, J. Abdey. **Mathematics and Statistics**. University of London, 2013. __Chapters 1-8 of Part 1__.   * **[P]** J. Ward, J. Abdey. **Mathematics and Statistics**. University of London, 2013. __Chapters 1-8 of Part 1__.
  
-You can refresh such notions through this [[http://131.114.72.230/sds/video/sds06_20220225.mp4|recording]] and {{:mds:sds:s4ds06.pdf|slides}}.+You can refresh such notions through these [[http://131.114.72.230/sds/video/sds06_20220225.mp4|recording]] and {{:mds:sds:s4ds06.pdf|slides}}.
  
  
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-Ph.D. students will receive an attendance statement if they attend at least 7 out of the 10+1 classes.+Ph.D. students will receive an attendance statement if they attend at least 7 out of the 10+1 classes. Ask the instructors for the attendance statement.
  
 =====Class calendar===== =====Class calendar=====
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 |05| 31/03 11-13| Sem. Est| Law of large numbers. The central limit theorem. Graphical summaries. Kernel Density Estimation. Numerical summaries. Speaker: A. Pugnana| {{ :phdai:s4ml:s4ml_05.pdf |}} | |05| 31/03 11-13| Sem. Est| Law of large numbers. The central limit theorem. Graphical summaries. Kernel Density Estimation. Numerical summaries. Speaker: A. Pugnana| {{ :phdai:s4ml:s4ml_05.pdf |}} |
 |06| 10/04 16-18 | Sem. Est | Unbiased estimators. Efficiency and MSE. Maximum likelihood estimation. Speaker: S. Ruggieri. | {{ :phdai:s4ml_06.pdf |}} | |06| 10/04 16-18 | Sem. Est | Unbiased estimators. Efficiency and MSE. Maximum likelihood estimation. Speaker: S. Ruggieri. | {{ :phdai:s4ml_06.pdf |}} |
-|07| 14/04 11-13 | Sem. Est | Statistical decision theory. Speaker: S. Ruggieri. | ... +|07| 14/04 11-13 | Sem. Est | Statistical decision theory. Speaker: S. Ruggieri. | {{ :phdai:s4ml_07.pdf |}} 
-|08| 28/04 11-13 | Sem. Ovest | Confidence intervals and Hypotheses testing. Fitting distributions. Testing  independence/association. Speaker: S. Ruggieri. | ... +|08| 28/04 11-13 | Sem. Ovest | Confidence intervals and Hypotheses testing. Speaker: S. Ruggieri. | {{ :phdai:s4ml08.pdf |}} 
-|09| 05/05 11-13 | Sem. Est | Bootstrap and resampling methods. Speaker: S. Ruggieri. | ... +|09| 05/05 11-13 | Sem. Est | Bootstrap and resampling methods. Speaker: S. Ruggieri. | {{ :phdai:s4ml09.pdf |}} 
-|10| 08/05 16-18 | Sem. Ovest | Multiple-sample tests of the mean and applications to classifier comparison. Speaker: S. Ruggieri. | ... |+|10| 08/05 16-18 | Sem. Ovest | Fitting distributions. Multiple-sample tests of the mean and applications to classifier comparison. Testing  independence/association. Speaker: S. Ruggieri. | {{ :phdai:s4ml10.pdf |}} |
 |Extra| 12/05 14-16 | Fib-C | //Seminar:// Introduction to causal modeling and reasoning. Speakers: I. Beretta and M. Cinquini.  | ... | |Extra| 12/05 14-16 | Fib-C | //Seminar:// Introduction to causal modeling and reasoning. Speakers: I. Beretta and M. Cinquini.  | ... |
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phdai/sml.1744270494.txt.gz · Ultima modifica: 10/04/2025 alle 07:34 (2 mesi fa) da Salvatore Ruggieri

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