Libro adottato a Politecnico di Milano, a.a. 2026/2027 · 5 canali
«Geoff Holmes – Machine Learning for Data Streams» è adottato per Streaming Data Analytics dal prof. Emanuele Della Valle (Computer Science and Engineering, Engineering Physics, High Performance Computing Engineering e altri corsi – Politecnico di Milano).
Come lo indica il docente: Geoff Holmes, Ricard Gavaldà, Albert Bifet, Bernhard Pfahringer, Machine Learning for Data Streams: With Practical Examples in MOA, MIT Press, Anno edizione: 2018 https://www.google.it/books/edition/Machine_Learning_for_Data_Streams/0C9ZDwAAQBAJ?hl=en&gbpv=1
Geoff Holmes – Machine Learning for Data Streamsquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Streaming Data Engineering This Streaming Data Engineering part of the course covers theoretical and practical aspects of Event-Based Systems (EBS), Data Stream Management Systems (DSMS), and Complex Event Processing (CEP). It uses the Event Processing Language (EPL) to illustrate typical DSMS and CEP operations. This segment equips students with essential skills for real-time data processing and analysis.
Geoff Holmes – Machine Learning for Data Streamsquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Streaming Data Engineering This Streaming Data Engineering part of the course covers theoretical and practical aspects of Event-Based Systems (EBS), Data Stream Management Systems (DSMS), and Complex Event Processing (CEP). It uses the Event Processing Language (EPL) to illustrate typical DSMS and CEP operations. This segment equips students with essential skills for real-time data processing and analysis.
Geoff Holmes – Machine Learning for Data Streamsquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Streaming Data Engineering This Streaming Data Engineering part of the course covers theoretical and practical aspects of Event-Based Systems (EBS), Data Stream Management Systems (DSMS), and Complex Event Processing (CEP). It uses the Event Processing Language (EPL) to illustrate typical DSMS and CEP operations. This segment equips students with essential skills for real-time data processing and analysis.
Geoff Holmes – Machine Learning for Data Streamsquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Streaming Data Engineering This Streaming Data Engineering part of the course covers theoretical and practical aspects of Event-Based Systems (EBS), Data Stream Management Systems (DSMS), and Complex Event Processing (CEP). It uses the Event Processing Language (EPL) to illustrate typical DSMS and CEP operations. This segment equips students with essential skills for real-time data processing and analysis.
Geoff Holmes – Machine Learning for Data Streamsquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 03/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: Streaming Data Engineering This Streaming Data Engineering part of the course covers theoretical and practical aspects of Event-Based Systems (EBS), Data Stream Management Systems (DSMS), and Complex Event Processing (CEP). It uses the Event Processing Language (EPL) to illustrate typical DSMS and CEP operations. This segment equips students with essential skills for real-time data processing and analysis.
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