Implementations and Applications of Machine Learning. (2020)

• Record Type: Book
• Further Information: Note: Saad Subair, Christopher Thron.
• Editors: Subair, Saad; Thron, Christopher
• Contents: Introduction.- Part 1: Machine learning concepts, methods, and software tools.- Overview.- Classifying algorithms.- Support vector machines.- Bayes classifiers.- Decision trees.- Clustering algorithms.- k-means and variants.- Gaussian mixture.- Association rules.- Optimization algorithms.- Genetic algorithms.- Swarm intelligence.- Deep learning, - Convolutional neural networks (CNN).- Other deep learning schema.- Part 2: Applications with implementations.- Protein secondary structure prediction.- Mapping heart disease risk.- Surgical performance monitoring.- Power grid control.- Conclusion.
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (280 pages)
• Subjects: Engineering; Electrical engineering; Computational intelligence; Data mining; Computational complexity; Health informatics; Bioinformatics; Technology & Engineering -- Engineering (General); Computers -- Database Management -- Data Mining; Medical -- General; Science -- Life Sciences -- Anatomy & Physiology; Artificial intelligence; Data mining; Cybernetics & systems theory; Medical equipment & techniques; Molecular biology; Technology & Engineering -- Telecommunications; Communications engineering / telecommunications
• Languages: English
• ISBNs: 9783030378301
• Related ISBNs: 9783030378295
• 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.