Search results for: TEXT ANALYTICS, NATURAL LANGUAGE PROCESSING - Bridge of Knowledge

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Search results for: TEXT ANALYTICS, NATURAL LANGUAGE PROCESSING

Search results for: TEXT ANALYTICS, NATURAL LANGUAGE PROCESSING

  • Intelligent information services 23/24

    e-Learning Courses
    • J. Szymański

    Information retrieval Text categorization Natural language processing

  • Fuel, Oils and Greases, W, E, sem.01, zimowy 22/23

    e-Learning Courses

    Division and origin of fuels. Fossil energy resources in Poland and in the world. Production and structure of fuel consumption. Main directions of crude oil processing. Classification and physical properties of gaseous and liquid fuels - natural gas, gasoline, kerosene, diesel oil, heating oil. Classification and characteristic indicators of solid fuels - hard coal, lignite, peat. Fuel contaminants and methods of their removal....

  • Deep neural networks for data analysis

    e-Learning Courses
    • K. Draszawka

    The aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...

  • Fuel, Oils and Greases, W, E, sem.03, zimowy 22/23

    e-Learning Courses
    • P. Bzura

    Division and origin of fuels. Fossil energy resources in Poland and in the world. Production and structure of fuel consumption. Main directions of crude oil processing. Classification and physical properties of gaseous and liquid fuels - natural gas, gasoline, kerosene, diesel oil, heating oil. Classification and characteristic indicators of solid fuels - hard coal, lignite, peat. Fuel contaminants and methods of their removal....

  • Inter Applied Chemistry Programme 5 Intorduction to hazard assessment of chemicals Marta Markiewicz

    e-Learning Courses
    • A. Głowacz-Różyńska
    • M. Tobiszewski
    • C. Jungnickel
    • P. Filipkowski

    Inter Applied Chemistry Programme 5 Intorduction to hazard assessment of chemicals Marta Markiewicz Marta Markiewicz obtained a Master’s degree in Biotechnological Engineering in 2007 from Koszalin University of Technology with the thesis focusing on recovery of native proteins from industrial waste streams using preparative ion-exchange chromatography. Subsequently she obtained a PhD in Technical Science (2012) from Gdańsk...

  • Inter Applied Chemistry Programme 6 A practical approach to novel industrial enzymes Dr Natasha Bozic

    e-Learning Courses
    • A. Głowacz-Różyńska
    • M. Tobiszewski
    • C. Jungnickel
    • P. Filipkowski

    Inter Applied Chemistry Programme 6 - A practical approach to novel industrial enzymes Dr Natasha Bozic The purpose of the course is to introduce students to the technologies of industrial enzymes discovery and manufacturing and to provide in depth insight about the advantages of using enzyme preparations in industry. Lectures will cover the common workflows of industrial enzymology including following topics: general enzyme...

  • Computer controlled systems - 2022/2023

    e-Learning Courses
    • P. Raczyński

    materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution...

  • CCS-lecture-2023-2024

    e-Learning Courses
    • P. Raczyński

    materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution optimization...