Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision (Paperback)

· 제목 : Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision (Paperback) 
· 분류 : 외국도서 > 컴퓨터 > 하드웨어 > 일반
· ISBN : 9781484251737
· 쪽수 : 568쪽
· 출판일 : 2019-11-30

Chapter 1: Foundational items

            Shannon's Coding Theorem

            Bayes rules

            Cox axioms

Chapter 2: Modeling fundamentals:

            Factor analysis

            K-Means

            Hidden Markov models (HMM)

            State space models (SSM)

            Boltzmann machines

Chapter 3: Algorithmic approaches

            Expectation-maximization (EM)

            Method-of-moments

            Belief propagation

            Forward/backward prorogation

            Kalman filters

            Laplacian approximations

            Markov chains

            Particle filters

 

Chapter 4: Supervised/unsupervised learning

            Linear regression

            Logistic regression

            Perceptions

            Artificial neural networks (ANN):

                        Autoencoders

                        Deep belief networks

                        Hebbian learning

                        Generative adversarial networks (GAN)

                        Self-organizing maps

            Gaussian processes

            Support vector machines (SVM)

            Blind signal separation techniques:

                        Independent component analysis (ICA)

                        Principal component analysis (PCA)

                        Non-negative matrix factorization

                        Singular value decomposition (SVD)

Chapter 5: Reinforcement learning

            Bellman's equation

            Value iterations and functions

            Lambda functions

            Policy iterations

            Q-learning