Cybernetics, Cognition and Machine Learning Applications

This book includes the original, peer reviewed research articles from the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2020), held in August, 20…

Programming with TensorFlow

This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for deep learning, Natural Language Processin…

Introduction to Machine Learning in the Cloud with Python

This book provides an introduction to machine learning and cloud computing, both from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals a…

Machine Learning Foundations

This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised…

Computationally Intensive Statistics for Intelligent IoT

The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational stat…

Intelligent Systems and Applications

The book Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference is a remarkable collection of chapters covering a wider range of topics in areas of intelligen…

Advances in Learning Automata and Intelligent Optimization

This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world optimization problems. The ever-increasing application of the LA…

Machine Learning in Social Networks

This book deals with network representation learning. It deals with embedding nodes, edges, subgraphs and graphs. There is a growing interest in understanding complex systems in different domains i…

Machine Intelligence and Big Data Analytics for Cybersecurity Applications

This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware an…

Deep Learning for Medical Decision Support Systems

This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelli…

Proceedings of International Conference on Big Data, Machine Learning and App…

This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and Applications (BigDML 2019). It focuses on both theory and applica…

Advanced Machine Learning Technologies and Applications

This book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22–24, 2…

The "Essence" of Network Security: An End-to-End Panorama

This edited book provides an optimal portrayal of the principles and applications related to network security. The book is thematically divided into five segments: Part A describes the introductory…

Metaheuristics in Machine Learning: Theory and Applications

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and …

Advanced Deep Learning for Engineers and Scientists

This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time applications. This book introduces a broad range of topics in deep…

Cellular Learning Automata: Theory and Applications

This book highlights both theoretical and applied advances in cellular learning automata (CLA), a type of hybrid computational model that has been successfully employed in various areas to solve co…

Application of Machine Learning and Deep Learning Methods to Power System Pro…

This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, o…

Deep Learning and Edge Computing Solutions for High Performance Computing

This book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The book is a comprehensive reference that provides an overvi…

Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision …

The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpr…

Machine Learning in VLSI Computer-Aided Design

This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-larg…

AI and Machine Learning Paradigms for Health Monitoring System

This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intell…

Machine Learning: Theoretical Foundations and Practical Applications

This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9–12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers …

Towards an Intelligent Learning Management System Under Blended Learning: Tre…

What are the key channels to change in blended instructional practice as they relate to the use of a learning management system (LMS)? What role LMS users’ profiles play in facilitating change in…

Learning from Data Streams in Evolving Environments

This edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by evolving non-stationary processes. The goal is to discuss an…

Natural Computing for Unsupervised Learning

This book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial…

Machine Learning for Cyber Physical Systems

This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4C…

PENERAPAN MODEL PROBLEM BASED LEARNING TERHADAP KEMAMPUAN BERPIKIR KRITIS SIS…

This research is quantitative research to measure students' critical thinking skills using the Pre-Experimental Design method with the One Group Pretest-Posttest design. This study aims to determin…

An Introduction to Machine Learning

Just like electricity, Machine Learning will revolutionize our life in many ways – some of which are not even conceivable today. This book provides a thorough conceptual understanding of Machine …

BEYOND TEACHING & LEARNING: MEMADUKAN QUANTUM TEACHING & LEARNING

Edition

-

ISBN/ISSN

979-9481-30-9

Collation

448p.:illus; 22 cm

Series Title

-

Call Number

371.102 Wen b

Pearson New International; Learning and Behavior, Seventh Edition

Edition

7

ISBN/ISSN

978-1-292-02274-1

Collation

i, 340p.; ill.; 27cm

Series Title

-

Call Number

150 Maz l