Applied data analytics : principles and applications /: principles and applications. (2022)

• Record Type: Book
• Further Information: Note: Johnson I. Agbinya.
• Authors: Agbinya, Johnson I
• Contents: Ap1 Markov Chain and its Applications 2 Hidden Markov Modelling (HMM) 3 Introduction to Kalman Filters 4 Kalman Filter II 5 Genetic Algorithm 6 Calculus on Computational Graphs 7 Support Vector Machines 8 Artificial Neural Networks 9 Training of Neural Networks 10 Recurrent Neural Networks 11 Convolutional Neural Networks 12 Principal Component Analysis 13 Moment-Generating Functions14 Characteristic Functions15 Probability-Generating Functions 16 Digital Identity Management System Using Artificial Neural Networks 17 Probabilistic Neural Network Classifiers for IoT Data Classification 18 MML Learning and Inference of Hierarchical Probabilistic Finite State Machinesplied Data Analytics - Principles and Applications
• Edition: 1st
• Publisher Details: Gistrup : River Publishers
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 005.7; Big data; Data mining; Quantitative research
• Languages: English
• ISBNs: 9781000792218
• Related ISBNs: 9781000795530
• Notes: Note: Description based on CIP data; resource not viewed.
• 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.