stochastics process

Machine Learning and AI with Simple Python and Matlab Scripts - (IEEE Press) by M Umit Uyar (Hardcover)

Efficient Cloud FinOps - by Alfonso San Miguel Sánchez & Danny Obando García (Paperback)

Stochastic Algorithms: Foundations and Applications - (Lecture Notes in Computer Science) by Kathleen Steinhöfel (Paperback)

Job Scheduling Strategies for Parallel Processing - by Dror Feitelson & Eitan Frachtenberg & Larry Rudolph & Uwe Schwiegelshohn (Paperback)

Scalable Uncertainty Management - by Amol Deshpande & Anthony Hunter (Paperback)

Stochastic Planning and Modeling for Energy Systems - by Miadreza Shafie-Khah (Paperback)

Process Design for Cryogenics - by Alexander Alekseev (Hardcover)

Statistical Analysis with Python for Dummies - by Joseph Schmuller (Paperback)

Applied Image Processing - (De Gruyter Textbook) by Matthias Schröter (Paperback)

Power Systems Electromagnetic Transients Simulation - (Energy Engineering) 2nd Edition by Neville Watson & Jos Arrillaga (Hardcover)

Introduction to Linear Regression Analysis - (Wiley Probability and Statistics) 6th Edition by Douglas C Montgomery (Hardcover)

Bayesian Methods for Structura - by Yuen (Hardcover)

Iterative Scale-Up in the Chemical Process Industry - (De Gruyter Stem) 2nd Edition by Jamal Chaouki & Reza Zarghami & Rahmat Sotudeh-Gharebagh

Neural Engineering - 3rd Edition by Bin He (Paperback)

An Introduction to Statistical Learning - (Springer Texts in Statistics)

Process Control - (Advances in Industrial Control) by Steve S Niu & Deyun Xiao (Paperback)