Assessing and improving prediction and classification : theory and algorithms in C++ /: theory and algorithms in C++. ([2018])

• Record Type: Book
• Further Information: Note: Timothy Masters.
• Authors: Masters, Timothy
• Contents: 1. Assessment of Numeric Predictions -- 2. Assessment of Class Predictions -- 3. Resampling for Assessing Parameter Estimates -- 4. Resampling for Assessing Prediction and Classification -- 5. Miscellaneous Resampling Techniques -- 6. Combining Numeric Predictions -- 7. Combining Classification Models -- 8. Gaiting Methods -- 9. Information and Entropy -- References.
• Publisher Details: New York, NY : Apress
• Publication Date: 2018
• Copyright Date: 2018
• Extent: 1 online resource
• Subjects: 005.13/3; Computer science; C++ (Computer program language); Mathematical models; Data mining; COMPUTERS -- Programming Languages -- C; C++ (Computer program language); Data mining; Mathematical models; Computer Science; Big Data; Artificial Intelligence (incl. Robotics); Probability and Statistics in Computer Science; Statistics, general; Computers -- Intelligence (AI) & Semantics; Computers -- Mathematical & Statistical Software; Mathematics -- Probability & Statistics -- General; Artificial intelligence; Maths for computer scientists; Probability & statistics; Big data; Artificial intelligence; Statistics; Computers -- Database Management -- General; Databases; Electronic books
• Languages: English
• ISBNs: 9781484233368; 1484233360
• Related ISBNs: 9781484233351; 1484233352
• Notes: Note: Includes bibliographical references and index.; Note: Vendor-supplied metadata.
• 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.