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Procedural programming in database
Nimrichter, Adam ; Povoda, Lukáš (referee) ; Uher, Václav (advisor)
Thesis deals with verification of concept of performing calculations inside database. Describes PostgreSQL database, its features and procedural language PL/pgSQL. Also focuses on machine learning methods, implementation of forward selection algorithm and verification of his functionality. Frequently used tool is MADlib, which is an open-source library of scalable in-database algorithms for machine learning, statistics and other analytic tasks.
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Financial market analysis using deep learning algorithm
Nimrichter, Adam ; Burget, Radim (referee) ; Mašek, Jan (advisor)
The thesis deals with methods for analysis of financial markets, focused on cryptocurrencies. The theoretical part, in a context of virtual currencies, describes block-chain technology, financial indicators and neural networks with recurrent architectures. Main goal is to create a system for giving a recommendation either for buy, or sell the currency. The system consists of designed financial strategy and predicted value of the currency, for which is used financial indicators and LSTM neural network. Tests were performed on Bitcoin, Litecoin and Ethereum historical data from year 2017.
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Financial market analysis using deep learning algorithm
Nimrichter, Adam ; Burget, Radim (referee) ; Mašek, Jan (advisor)
The thesis deals with methods for analysis of financial markets, focused on cryptocurrencies. The theoretical part, in a context of virtual currencies, describes block-chain technology, financial indicators and neural networks with recurrent architectures. Main goal is to create a system for giving a recommendation either for buy, or sell the currency. The system consists of designed financial strategy and predicted value of the currency, for which is used financial indicators and LSTM neural network. Tests were performed on Bitcoin, Litecoin and Ethereum historical data from year 2017.
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Procedural programming in database
Nimrichter, Adam ; Povoda, Lukáš (referee) ; Uher, Václav (advisor)
Thesis deals with verification of concept of performing calculations inside database. Describes PostgreSQL database, its features and procedural language PL/pgSQL. Also focuses on machine learning methods, implementation of forward selection algorithm and verification of his functionality. Frequently used tool is MADlib, which is an open-source library of scalable in-database algorithms for machine learning, statistics and other analytic tasks.
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