Principles of data science. (2020)

• Record Type: Book
• Further Information: Note: Hamid R. Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard Heilig, Kai Brüssau, editors.
• Other Names: Arabnia, Hamid; Daimi, Kevin; Stahlbock, Robert; Soviany, Cristina; Heilig, Leonard; Brüssau, Kai
• Contents: Introduction -- Data Acquisition, Extraction, and Cleaning -- Data Summarization and Modeling -- Data Analysis and Communication Techniques -- Data Science Tools -- Deep Learning in Data Science -- Data Science Applications -- Conclusion.
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 005.7; Big data; Data mining; Statistics -- Data processing; Artificial intelligence; Information retrieval; Pattern recognition; Business mathematics & systems; Communications engineering / telecommunications; Technology & Engineering -- Engineering (General); Computers -- System Administration -- Storage & Retrieval; Computers -- Computer Vision & Pattern Recognition; Business & Economics -- Industries -- Computer Industry; Technology & Engineering -- Telecommunications; Big data; Data mining; Statistics -- Data processing; Electronic books; Electronic books
• Languages: English
• ISBNs: 9783030439811
• Related ISBNs: 303043981X; 3030439801; 9783030439804
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.