BOOKS - PROGRAMMING - Learning Automata and Their Applications to Intelligent Systems
Learning Automata and Their Applications to Intelligent Systems - JunQi Zhang, MengChu Zhou 2024 PDF | EPUB Wiley-IEEE Press BOOKS PROGRAMMING
ECO~14 kg CO²

1 TON

Views
69393

Telegram
 
Learning Automata and Their Applications to Intelligent Systems
Author: JunQi Zhang, MengChu Zhou
Year: 2024
Pages: 275
Format: PDF | EPUB
File size: 21.6 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Multiple Criteria Decision-Making Methods: Applications for Managerial Discretion (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 14)
Facilitating the Integration of Learning: Five Research-Based Practices to Help College Students Connect Learning Across Disciplines and Lived Experience
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning, 2nd Edition (Final Release)
Data Scientist Pocket Guide Over 600 Concepts, Terminologies, and Processes of Machine Learning and Deep Learning Assembled
Machine Learning. Supervised Learning Techniques and Tools Nonlinear Models Exercises with R, SAS, STATA, EVIEWS and SPSS
Learning Genetic Algorithms with Python Empower the Performance of Machine Learning and AI Models with the Capabilities of a Powerful Search Algorithm
Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning, 2nd Edition (Final Release)
Programming Machine Learning From Coding to Deep Learning
Transfer Learning for Multiagent Reinforcement Learning Systems
Machine Learning in Elixir Learning to Learn with Nx and Axon
Machine Learning in Elixir Learning to Learn with Nx and Axon
Data Science Crash Course Thyroid Disease Classification and Prediction Using Machine Learning and Deep Learning with Python GUI, Second Edition
Learning Deep Learning Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow (Rough Cuts)
Bernard Shaw, Automata, Robots, and Artificial Intelligence (Bernard Shaw and His Contemporaries)
Future-Focused Learning: Ten Essential Shifts of Everyday Practice (Changing Teaching Practices to Support Authentic Learning for the 21st Century)
Learning to Love (Learning to Duet Book 1)
Teachers Learning Together: Creating Learning Communities
Real-world Learning Framework for Secondary Schools: Digital Tools and Practical Strategies for Successful Implementation - bring about deeper and self-directed learning in students
Professional Learning Communities at Work(R)and High-Reliability Schools: Cultures of Continuous Learning (Ensure a viable and guaranteed curriculum) (Leading Edge Book 11)
Meta-heuristic Optimization Techniques: Applications in Engineering (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 10)
C# Microservices Web Applications: Building Scalable, Service-Oriented, Modern, Enterprise Applications (Web Development Series)
Modern Web Applications with Next.JS Learn Advanced Techniques to Build and Deploy Modern, Scalable and Production Ready React Applications with Next.JS
Modern Web Applications with Next.JS Learn Advanced Techniques to Build and Deploy Modern, Scalable and Production Ready React Applications with Next.JS
Web Applications with ASP.NET Core Blazor Create Powerful, Responsive, and Engaging Web Applications
Layered Design for Ruby on Rails Applications: Discover practical design patterns for maintainable web applications
Web Applications with ASP.NET Core Blazor Create Powerful, Responsive, and Engaging Web Applications
Learning in the Age of Digital and Green Transition: Proceedings of the 25th International Conference on Interactive Collaborative Learning (ICL2022), … (Lecture Notes in Networks and Systems, 6
Building Modern SaaS Applications with C# and .NET: Build, deploy, and maintain professional SaaS applications
Isogeometric Topology Optimization: Methods, Applications and Implementations (Engineering Applications of Computational Methods Book 7)
Machine Learning for Beginners A Math Guide to Mastering Deep Learning and Business Application. Understand How Artificial Intelligence, Data Science, and Neural Networks Work Through Real Examples
Building Serverless Applications on Knative A Guide to Designing and Writing Serverless Cloud Applications
Building Serverless Applications on Knative A Guide to Designing and Writing Serverless Cloud Applications
Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps (English Edition)
Machine Learning With Python 3 books in 1 Hands-On Learning for Beginners+An in-Depth Guide Beyond the Basics+A Practical Guide for Experts
Dynamics of a Social Language Learning Community: Beliefs, Membership and Identity (Psychology of Language Learning and Teaching, 9) (Volume 9)
Agricultural Informatics Automation Using the IoT and Machine Learning (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)
Building Machine Learning Systems Using Python Practice to Train Predictive Models and Analyze Machine Learning Results
Machine Learning for Beginners An Introductory Guide to Learn and Understand Artificial Intelligence, Neural Networks and Machine Learning
Learning Google Cloud Vertex AI: Build, deploy, and manage machine learning models with Vertex AI (English Edition)
Machine Learning for Business The Ultimate Artificial Intelligence & Machine Learning for Managers, Team Leaders and Entrepreneurs