Intelligent Data Analysis - Inteligentná analýza údajov

Archived -> Current version https://github.com/FIIT-IAU/IAU-course

Introduction to Data Science

Lectures / Prednášky

Exercises / Cvičenia

Course conditions / Podmienky na absolvovanie predmetu

MS Teams

Course textbook / Učebnica predmetu / Základná literatúra / Base literature

• NGUYEN, G., 2022. Introduction to Data Science. The Edition of University Textbooks on Informatics and Information Technologies. Spektrum STU Publishing, ISBN 978-80-227-5193-3.
  Available at FIIT STU e-library ELVIRA with AIS access.

    @book{nguyen2022ds,   
      author = {Nguyen, Giang},  
      title = {Introduction to Data Science},
      note = {The Edition of University Textbooks on Informatics and Information Technologies},
      publisher = {Spektrum STU Publishing},
      ISBN = {978-80-227-5193-3}, 
      year = {2022},
      url = {https://elvira.fiit.stuba.sk/library/pdf-viewer/765297eb-be49-4013-857e-ad3438726942}
    }

Recommended literature / Odporúčaná literatúra

• GÉRON, A., 2022. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. O'Reilly Media, Inc. ISBN 978-1098125974. 3rd edition.

• MCKINNEY, W., 2022. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter. O'Reilly Media, Inc. ISBN 978-1098104030. 3rd edition.

• SHAW, Z.A., 2017. Learn Python 3 The Hard Way: A very simple introduction to the terrifyingly beautiful world of computers and code. Addison-Wesley Professional. ISBN 978-0134692883.