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mds:pa:start [19/09/2019 alle 07:51 (5 anni fa)] – [Programmatic Advertising A.Y. 2016/17] Salvatore Ruggierimds:pa:start [08/09/2021 alle 12:25 (3 anni fa)] (versione attuale) – [Instructor] Nicola Ciaramella
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 No advanced background in mathematics or computer science is required. No advanced background in mathematics or computer science is required.
  
-Contents:\\  + 
-Digital advertising and e-commerce: business context; programmatic vs. traditional approach; the profession of programmatic advertising; the economy of online auctions.\\  +=====Contents===== 
-Decision-making: expected utility, optimization, heuristics.\\  + 
-Multi-armed bandits: a conceptual framework for maximizing profit in a dynamic uncertain environment.\\  +  Digital advertising and e-commerce: business context; programmatic vs. traditional approach; the profession of programmatic advertising; the economy of online auctions. 
-Basic statistical tools: distributions (like Normal, Binomial, Beta); concept of simulation; Bayesian inference.\\  +  Decision-making: expected utility, optimization, heuristics. 
-Forecasting: regression; time series analysis; matrix-based methods.\\  +  Multi-armed bandits: a conceptual framework for maximizing profit in a dynamic uncertain environment. 
-Advertising and e-commerce with customer profiles available.+  Basic statistical tools: distributions (like Normal, Binomial, Beta); concept of simulation; Bayesian inference. 
 +  Forecasting: regression; time series analysis; matrix-based methods. 
 +  Advertising and e-commerce with customer profiles available.
  
 =====Instructor===== =====Instructor=====
  
   * **Nicola Ciaramella**   * **Nicola Ciaramella**
-    * [[ciaramella@noesis-research.com]]  +    * [[sidunipisa@gmail.com]]  
  
 =====Teaching Material===== =====Teaching Material=====
mds/pa/start.1568879487.txt.gz · Ultima modifica: 19/09/2019 alle 07:51 (5 anni fa) da Salvatore Ruggieri

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