Classification, Parameter Estimation and State Est

An Introduction to Statistical Signal Processing

Kalman Filtering Theory and Practice with MATLAB

Statistical Pattern Recognition

Machine Learning and Data Science Fundamentals and Applications

Fundamentals of Statistical Signal Processing Volume 3 (Paperback)

Bayesian Artificial Intelligence, Second Edition

Pre-Owned Introduction to Random Signals and Applied Kalman Filtering Paperback

Linear Algebra and Optimization for Machine Learning: A Textbook

Applied Neural Networks for Signal Processing (Paperback)

Optimal Input Signals for Parameter Estimation

Machine Learning: A First Course for Engineers and Scientists

Springer Texts in Statistics Bayesian Inference of State Space Models: Kalman Filtering and Beyond (Paperback)

Deterministic and Statistical Methods in Machine Learning: First International Workshop Sheffield Uk September 7-10 (Paperback)

Bayesian Process Monitoring, Control and Optimization

Pre-Owned Chapman & Hall/CRC Machine Learning & Pattern Recognition: Statistical Reinforcement Learning: Modern Machine Learning Approaches (Hardcover)

Machine Learning: a Concise Introduction

Probabilistic Machine Learning Advanced Topics

Machine Learning: An Algorithmic Perspective, Second Edition

Machine Learning for Absolute Beginners: A Plain English Introduction

Fundamentals of Stochastic Signals Systems and Estimation Theory: With Worked Examples (Hardcover)

Handbook of Neural Network Signal Processing

An Introduction to Statistical Learning

Algorithmic Aspects of Machine Learning

Machine Learning (McGraw-Hill International Editions Computer Science Series)

Stochastic systems: Estimation, identification, and adaptive control (Prentice-Hall information and system sciences series) Kumar, P. R [Used - Good]