Support vector machines optimization based theory, algorithms, and extensions by Deng, Naiyang

Correlation Of Composition 4 And Emulex Explosion Performances Using Support Vector Machines by Prakash Nagappan

Classification Of Fake Profiles Features In Facebook Using K-Nearest Neighbour (KNN), Neutral Network (NN) And Support Vector Machine (SVM) by Ahmad Nazren Hakimi Bin Ahmad Nasir

Computational intelligence and its applications evolutionary computation, fuzzy logic, neural network and support vector machine techniques

Table of Contents: “…Seneviratne and Kaspar Althoefer -- Support vector machines and their applications. 9. On the applications of heart disease risk classification and hand-written character recognition using support vector machines / S.R. …”

Analisis sentimen mengenai vaksin COVID-19 di kalangan pelajar jabatan sains komputer (JSK), Fakulti Sains dan Teknologi Pertahanan (FSTP) dan UPNM menggunakan algoritma support vector machine (SVM) by Siti Nur Adibah Mohd Hatta

An Introduction to IoT Analytics / by Perros, Harry G.

Table of Contents: “…Review of probability theory -- Simulation techniques -- Hypothesis testing -- Multivariable linear regression -- Time series forecasting -- Dimensionality reduction -- Clustering techniques -- Classification techniques -- Artificial neural networks -- Support vector machines -- Hidden Markov models…”

Introduction to multivariate analysis linear and nonlinear modeling by Konishi, Sadanori

Table of Contents: “…Bayesian Classification; 8. Support Vector Machines; 9. Principal Component Analysis; 10. …”

Machine learning an algorithmic perspective by Marsland, Stephen

Table of Contents: “…Introduction -- Preliminaries -- Neurons, neural networks, and linear discriminants -- The multi-layer perceptron -- Radial basis functions and splines -- Dimensionality reduction -- Probabilistic learning -- Support vector machines -- Optimisation and search -- Evolutionary learning -- Reinforcement learning -- Learning with trees -- Decision by committee: ensemble learning -- Unsupervised learning -- Markov chain Monte Carlo (MCMC) methods -- Graphical models -- Symmetric weights and deep belief networks -- Gaussian processes -- Python…”

Modern mathematics and applications in computer graphics and vision by Guo, Hongyu

Table of Contents: “…Algebra: Abstract Algebra; Linear Algebra; Tensor Algebra; Exterior Algebra; Geometric Algebra; Boolean Algebra; Geometry: Projective Geometry; Affine Geometry; Differential Geometry; Riemannian Geometry; Non-Euclidean Geometry; Topology: General Topology; Manifolds; Hilbert Spaces; Measure Spaces; Applications: Color Spaces; Projective Geometry and Photography; Tensor Product Spline Surfaces; Image Algebra; Manifold Learning; Support Vector Machines…”

Data mining algorithms by Chattamvelli, Rajan

Machine Learning A First Course for Engineers and Scientists by Lindholm, Andreas, Wahlstrom, Niklas, Lindsten, Fredrik, Schon, Thomas B.

Data mining a tutorial-based primer by Roiger, Richard J.

Neural networks and deep learning a textbook by Aggarwal, Charu C.