Search results for: BIG DATA DEEP LEARNING REMOTE MEDICAL DIAGNOSTIC - Bridge of Knowledge

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Search results for: BIG DATA DEEP LEARNING REMOTE MEDICAL DIAGNOSTIC

Search results for: BIG DATA DEEP LEARNING REMOTE MEDICAL DIAGNOSTIC

  • Deep Learning Basics 2023/24

    e-Learning Courses
    • K. Draszawka

    A course about the basics of deep learning intended for students of Computer Science. It includes an introduction to supervised machine learning, the architecture of basic artificial neural networks and their training algorithms, as well as more advanced architectures (convolutional networks, recurrent networks, transformers) and regularization and optimization techniques.

  • 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:...

  • Analiza danych typu Big Data 2022/23

    e-Learning Courses
    • P. Weichbroth
    • W. Waloszek

    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.

  • Deep Learning w Keras

    e-Learning Courses
    • A. Karpus

    Kurs przeznaczony dla słuchaczy studiów podyplomowych Sztuczna inteligencja i automatyzacja procesów biznesowych w ujęciu praktycznym - edycja biznesowa.

  • Analiza danych typu Big Data 2024/25

    e-Learning Courses
    • P. Weichbroth
    • W. Waloszek

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

  • Deep neural networks for data analysis 24/25

    e-Learning Courses
    • J. Cychnerski
    • K. Draszawka

    This course covers introduction to supervised machine learning, construction of basic artificial deep neural networks (DNNs) and basic training algorithms, as well as the overview of popular DNNs architectures (convolutional networks, recurrent networks, transformers). The course introduces students to popular regularization techniques for deep models. Besides theory, large part of the course is the project in which students apply...

  • Analiza danych typu Big Data 2023/24 KOPIA

    e-Learning Courses
    • W. Waloszek

    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

    e-Learning Courses
    • P. Jasik

  • Basics of Deep Learning 24/25

    e-Learning Courses
    • K. Draszawka

  • Big Data processing frameworks - 2022

    e-Learning Courses
    • A. Przybyłek

    Informatics, postgraduate studies Data Engineering, undergraduate studies

  • Big Data processing frameworks - 2023

    e-Learning Courses
    • A. Przybyłek

    Informatics, postgraduate studies Data Engineering, undergraduate studies

  • Big Data processing frameworks - 2024

    e-Learning Courses
    • A. Przybyłek

    Informatics, postgraduate studies Data Engineering, undergraduate studies

  • Analiza danych typu Big Data

    e-Learning Courses
    • P. Weichbroth
    • M. Kaczmarek
    • W. Waloszek

  • Big Data ST (2024/2025_zima)

    e-Learning Courses
    • M. B. Pietrzak
    • O. Aydin

  • Big Data 2024 nst (2024/2025_zima)

    e-Learning Courses
    • M. B. Pietrzak

  • Deep neural networks for data analysis 27/28

    e-Learning Courses
    • K. Draszawka

  • Deep neural networks for data analysis 25/26

    e-Learning Courses
    • K. Draszawka

  • Deep neural networks for data analysis 26/27

    e-Learning Courses
    • K. Draszawka

  • Analiza danych typu Big Data 2023/24

    e-Learning Courses
    • P. Weichbroth
    • W. Waloszek

  • Random Processes 2022/2023

    e-Learning Courses
    • B. Czaplewski

    The e-learning course page for the purpose of the remote or hybrid learning for Random Processes.

  • Random Processes 2023/2024

    e-Learning Courses
    • B. Czaplewski

    The e-learning course page for the purpose of the remote or hybrid learning for Random Processes.

  • Random Processes 2024/2025

    e-Learning Courses
    • V. Waladi
    • B. Czaplewski

    The e-learning course page for the purpose of the remote or hybrid learning for Random Processes.

  • Podstawy uczenia głębokiego 2022

    e-Learning Courses
    • K. Draszawka
    • S. Olewniczak
    • J. Szymański

    {mlang pl}Kurs podstaw uczenia głębokiego przeznaczony dla studentów kierunku Informatyka.{mlang} {mlang en}This is a course about deep learning basics dedicated for Computer Science students.{mlang}

  • Kosmiczne zastosowania zaawansowanych technologii informatycznych

    e-Learning Courses
    • J. Proficz
    • A. Królicka-Gałązka

    Nowoczesne technologie wykorzystania systemów dużej mocy obliczeniowej: superkomputerów o architekturze klastrowej na przykładzie środowisk związanych z masowym przetwarzaniem danych (Big Data), obliczeniami w chmurze (Cloud Computing) oraz klasycznym podejściem wymiany wiadomości (MPI: Message Passing Interface) dla przetwarzania wsadowego.

  • Smart city and data management foundations

    e-Learning Courses
    • M. Krzyżanowski
    • W. Drapiński
    • J. Sudakowska
    • A. Guzik
    • K. Dytrych
    • A. Modrzejewska
    • A. Orłowski

    This e-learning course, specifically designed for individuals aiming to establish startups, those proficient in technology yet unsure of how to leverage and market it, and students aspiring to further their studies in data analysis, transportation, IT management, or data engineering. This course serves as an entry point for roles such as Smart City Specialist and Chief Data Officer in municipal settings. Participants will gain...

  • CAD. Integrated Architectural Design, MSc Arch (2023/24)

    e-Learning Courses
    • D. Cyparski

    Detailed understanding of optimizing the design process using parametric BIM (Building Information Modeling) in the Autodesk Revit Architecture program. Practical design exercises included familiarize students with methods of integrating parametric design and exchanging data with other CAD/BIM programs, modifying parametric objects and generating automatic 2D/3D architectural documentation. The lesson plan introduces students to...

  • Elective design II Reinventing Gdańsk / Reinventing Gdynia

    e-Learning Courses
    • K. Życzkowska

    The workshop will examine important modern architectural buildings in Gdańsk/ Gdynia in different political, cultural, economic and environmental contexts. The students will be divided into groups. Each group will be led by the curator of the exhibition. They will identify and evaluate the architectural values of the building through analyses, deconstructions and syntheses, focusing on understanding the basic principles of architecture...

  • 2023_Reinventing Gdansk_Elective seminar

    e-Learning Courses
    • K. Życzkowska

    The workshop will examine important modern architecturalbuildings in Gdansk in different political, cultural, economicand environmental contexts. The students will be dividedinto groups. Each group will be led by the curator of theexhibition. They will identify and evaluate the architecturalvalues of the building through analyses, deconstructions andsyntheses, focusing on understanding the basic principles ofarchitecture and establishing...

  • Specyfika Badacza Wydziału

    e-Learning Courses
    • M. Figurski

    Geodezja i kartografia obecnie powinna być postrzegana jako dyscyplina interdyscyplinarna, która zajmuje się całym ekosystem ziemskim i przygotowuje odpowiednie procedury i metody pomiarowe wykorzystywane w szeregu innych dyscyplin naukowych. Domena zalecza badawczego geodezji i kartografii są również metody analizy danych i budowanie nowych algorytmów obejmujących przetwarzanie danych Big data. Podstawę geodezji tworza, podobnie...