The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety of approaches to...
"A guide to all practical aspects of building, implementing, managing, and maintaining MPC applications in industrial plants Multivariable Predictive Control: Applications in Industry provides engineers with a thorough understanding of all practical aspects of multivariate predictive...
Accomplish the power of data in your business by building advanced predictive modelling applications with Tensorflow. About This Book • A quick guide to gain hands-on experience with deep learning in different domains such as digit/image classification, and texts • Build your own smart,...
Master the art of predictive modeling About This Book • Load, wrangle, and analyze your data using the world's most powerful statistical programming language • Familiarize yourself with the most common data mining tools of R, such as k-means, hierarchical regression, linear regression, Naïve...
Make sense of your data and predict the unpredictable About This Book • A unique book that centers around develop six key practical skills needed to develop and implement predictive analytics • Apply the principles and techniques of predictive analytics to effectively interpret...
This SAE Information Report is intended to help promote the proper use of Predictive and Preventive Diagnostic Maintenance in hydraulic systems. This document can be used as a selection guide for the level of diagnostic equipment and methods to specify for a given...
This book addresses industrial model predictive controls (MPC), adaptive MPC, synthesis approaches of MPC and two-step MPC, with emphasis on synthesis approaches and the relationship between heuristic MPC and synthesis approaches. Chapter 1 introduces the concepts of system, modeling...
Predictive and Optimised Life-Cycle Management sets out methodologies to meet the demands of the current trend towards sustainable civil engineering and building. Encompassing all aspects of construction practice, from design through to demolition and the recycling of materials, Sarja...
Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python About This Book • A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices • Get to grips with the basics of...
Master the craft of predictive modeling in R by developing strategy, intuition, and a solid foundation in essential concepts About This Book • Grasping the major methods of predictive modeling and moving beyond black box thinking to a deeper level of understanding • Leveraging the...
Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples. It discusses...
Exploit the power of data in your business by building advanced predictive modeling applications with Python About This Book • Master open source Python tools to build sophisticated predictive models • Learn to identify the right machine learning algorithm for your problem with this...
This book is a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis and design methods, strategy developments and practical applications. The main contents of the book include an overview of the development...
Get to grips with key data visualization and predictive analytic skills using R About This Book Acquire predictive analytic skills using various tools of R Make predictions about future events by discovering valuable information from data using R Comprehensible guidelines that...
Step-by-step guide to build high performing predictive applications Key Features *Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects *Explore advanced predictive modeling algorithms with an emphasis on theory with intuitive...
Learn how to solve real life problems using different methods like logic regression, random forests and SVM's with TensorFlow. About This Book • Understand predictive analytics along with its challenges and best practices • Embedded with assessments that will help you revise the concepts you...
The book is divided into 4 parts and comprises 12 chapters dealing with the following subjects: nonlinear model predictive control applications; output feedback and tracking of nonlinear systems; model predictive control of nonlinear parameter varying systems via...
Narrow Your Results
