Wyniki wyszukiwania dla: NEURAL TEXT-TO-SPEECH MULTILINGUAL SYNTHESIS VOICE CONVERSION SYNTHETIC DATA NORMALISING FLOWS - MOST Wiedzy

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Wyniki wyszukiwania dla: NEURAL TEXT-TO-SPEECH MULTILINGUAL SYNTHESIS VOICE CONVERSION SYNTHETIC DATA NORMALISING FLOWS

Wyniki wyszukiwania dla: NEURAL TEXT-TO-SPEECH MULTILINGUAL SYNTHESIS VOICE CONVERSION SYNTHETIC DATA NORMALISING FLOWS

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    The course covers the basics of mechanical, electrical and thermal energy production in industry and maritime transport. Describes installations supporting high-power engines. Particular attention has been paid to the fuel systems of internal combustion engines. The treatment of engine exhaust gases is described.

  • Synthesis Methods of nanomaterials & Experimental nanotechnology

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    Electrodes: Metals as electrodes in aqueous and non-aqueous systems, metal nanoparticles. Collectors current. 3D, 2D, 1 D carbons, carbon nanomaterials. Organic semiconductors "Synthetic metals" - p-type, n-type. Inorganic semiconductors: oxides, selenides, sulfides, others. Intercalated electrodes. Mixed conductors (MIEC). Photo-active semiconductor materials. Electrolytes. Water electrolytes in commercial products. Electroactive...

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  • Big Data processing frameworks - 2022

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  • Big Data processing frameworks - 2023

    Kursy Online
    • A. Przybyłek

    Informatics, postgraduate studies Data Engineering, undergraduate studies

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  • Data Structures (Doctoral Studies)

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    Within this path, various issues regarding data mining and their practical application in various systems are discussed.   4 semestr specjalności ISI i ZAD

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    The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.

  • Data Warehouses DE 2023/2024

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  • Algorithms and Data Structures 2022

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    The course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course. 

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    The course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course. 

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  • Technology and Energy Conversion Machines - Nowy kopiuj 1

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    The course covers the basics of mechanical, electrical and thermal energy production in industry and maritime transport. Describes installations supporting high-power engines. Particular attention has been paid to the fuel systems of internal combustion engines. The treatment of engine exhaust gases is described.

  • Technical physics (Data Engineering)_22/23

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  • Technical physics (Data Engineering)_23/24

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  • Basics of Data Warehouses Path

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    Within this path the basic aspects of data warehouses (architecture, star schema, etc.) are discussed. The course is intended for students of the 1st degree of Informatics Field (semester 5) -  Kurs planowany dla studentów I stopnia kierunku informatyka (semestr 5) - przedmiot Hurtownie danych oraz dla studentów II stopnia kierunku informatyka, specjalność ZAD.

  • Data Structures (Doctoral Studies) - New

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    The course is designed to provide students with the knowledge regarding basic data structures and associated algorithms used in broad range of applications. Students will also gain knowledge about how to evaluate the quality of algorithms in the context of time and space usage. Additionally, during seminars, students get familiar with biographies of most famous creators of the algorithms.

  • Analiza danych typu Big Data 2022/23

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    The aim of the course is to familiarize students with the methods of storing and analysis of big data. Practical tools for these tasks are presented.

  • Analiza danych typu Big Data 2023/24 KOPIA

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    The aim of the course is to familiarize students with the methods of storing and analysis of big data. Practical tools for these tasks are presented.

  • Big Data 2023

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    • P. Weichbroth
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    • P. Weichbroth
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