Advanced Methods for Data Analysis

Advanced Methods for Data Analysis
460-4128/01
čeština Advanced Methods for Data Analysis
460-4128/02
angličtina

Anotace

The students will become familiar with the algorithms and tools for big data analysis and its real-world applications. First, the core algorithms and tools for big data will be presented as well as its requirements, results and the representations of the outcomes. Later, methods based on the deep neural networks will be described and implemented on a real-world data and real-world computation hardware. Finally, a recomender systems will be introduced and its implementation discussed in details with a demonstration in the lab on real data.

Povinná literatura

Ian H. Witten, Eibe Frank, Mark A. Hall, Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, Morgan Kaufmann, 2011, ISBN: 978-0123748560
Charu C. Aggarwal, Data Mining - The Text Book, Springer 2015.

Doporučená literatura

1. Mohammed J. Zaki, Wagner Meira, Jr., Data Mining and Analysis: Fundamental Concepts and Algorithms, Cambridge University Press, May 2014. .
2. Jure Leskovec, Anand Rajaraman, David Ullman, Mining of Massive Datasets, 2nd editions, Cambridge University Press, Novemeber 2014, , On-line http://infolab.stanford.edu/~ullman/mmds/book.pdf [2014-09-12]
3. Mohammed J. Zaki, Wagner Meira, Jr., Data Mining and Analysis: Fundamental Concepts and Algorithms, Cambridge University Press, May 2014. .
4. Jure Leskovec, Anand Rajaraman, David Ullman, Mining of Massive Datasets, 2nd editions, Cambridge University Press, Novemeber 2014, , On-line http://infolab.stanford.edu/~ullman/mmds/book.pdf [2014-09-12]

zpět na vyhledávání

Language of instruction	čeština, angličtina
Code	460-4128
Abbreviation	PMAD
Course title	Advanced Methods for Data Analysis
Coordinating department	Department of Computer Science
Course coordinator	prof. Ing. Jan Platoš, Ph.D.