Concepts of Machine Learning with Practical Approaches. KEY FEATURES ● Includes real-scenario examples to explain the working of Machine Learning algorithms. ● Includes graphical and statistical representation to simplify modeling Machine Learning and Neural Networks. ● Full of Python codes, numerous exercises, and model question papers for data science students. DESCRIPTION The book offers the readers the fundamental concepts of Machine Learning techniques in a user-friendly language. The book aims to give in-depth knowledge of the different Machine Learning (ML) algorithms and the practical implementation of the various ML approaches. This book covers different Supervised Machine Learning algorithms such as Linear Regression Model, Naïve Bayes classifier Decision Tree, K-nearest neighbor, Logistic Regression, Support Vector Machine, Random forest algorithms, Unsupervised Machine Learning algorithms such as k-means clustering, Hierarchical Clustering, Probabilistic clustering, Association rule mining, Apriori Algorithm, f-p growth algorithm, Gaussian mixture model and Reinforcement Learning algorithm such as Markov Decision Process (MDP), Bellman equations, policy evaluation using Monte Carlo, Policy iteration and Value iteration, Q-Learning, State-Action-Reward-State-Action (SARSA). It also includes various feature extraction and feature selection techniques, the Recommender System, and a brief overview of Deep Learning. By the end of this book, the reader can understand Machine Learning concepts and easily implement various ML algorithms to real-world problems. WHAT YOU WILL LEARN ● Perform feature extraction and feature selection techniques. ● Learn to select the best Machine Learning algorithm for a given problem. ● Get a stronghold in using popular Python libraries like Scikit-learn, pandas, and matplotlib. ● Practice how to implement different types of Machine Learning techniques. ● Learn about Artificial Neural Network along with the Back Propagation Algorithm. ● Make use of various recommended systems with powerful algorithms. WHO THIS BOOK IS FOR This book is designed for data science and analytics students, academicians, and researchers who want to explore the concepts of machine learning and practice the understanding of real cases. Knowing basic statistical and programming concepts would be good, although not mandatory. TABLE OF CONTENTS 1. Introduction 2. Supervised Learning Algorithms 3. Unsupervised Learning 4. Introduction to the Statistical Learning Theory 5. Semi-Supervised Learning and Reinforcement Learning 6. Recommended Systems
A Systematic Approach to Learn the Principles, Paradigms and Applications of Internet of Things Key Featuresa- IoT applications in various sectors like Education, Smart City, Politics, Healthcare, Agriculture, etc.a- Adoption of the IoT technology and strategies for various sectorsa- To present case studies and innovative applications of the IoTa- To analyze and present the state of the art of the IoT and related technologies and methodologiesa- To propose new models, practical solutions and technological advances of the IoTDescriptionIn this book, Principles, Paradigm frameworks, and Applications of IoT (Internet of Things) in the modern era are presented. It also provides a sound understanding of the IoT concepts, architecture, and applications, and improves the awareness of readers about IoT technologies and application areas. A key objective of this book is to provide a systematic source of reference for all aspects of IoT. This book comprises nine chapters with close co-operation and contributions from four different authors, spanning across four countries and providing a global, broad perspective on major topics on the Internet of Things.What will you learna- Become aware of the IoT components, their connectivity to form the IoT altogether, and future possibilities with IoT.a- Understand how the various components of cloud computing work together to form the basic architecture of cloud computing.a- Examine the relationship between the various layers in the IoT architecture.a- Understand the programming framework for the Internet of Things (IoT) and various programming paradigms.Who this book is forThis book is intended for professionals, researchers, instructors, and designers of a smart system, who will benefit from reading this book.Table of Contents1. IoT Introduction2. IoT Architectures and Protocols3. Programming Framework for IoT4. Virtualization and IoT5. Security, Privacy and Challenges in IoT6. IoT Applications Areas7. IoT and Cloud8. Smart City Using IoT integration9. Case Studies10. Important Key Terms11. References About the AuthorDr Kamlesh Lakhwani works as an Associate Professor in the Department of Computer Science and Engineering at Lovely Professional University, Punjab, India. He has an excellent academic background and a rich experience of 13+ years as an academician and researcher in Asia. He is certified by Google and Coursera for the demanding course "e;Architecting with Google Compute Engine"e;. He has several awards to his credit, such as Best Research Paper Award and Research Appreciation Award from Lovely Professional University, Punjab, India; topper for course Cloud Computing by NPTEL (an initiative by seven Indian Institutes of Technology (IIT Bombay, Delhi, Guwahati, Kanpur, Kharagpur, Madras, and Roorkee) and Indian Institute of Science (IISc); Appreciation Award for "e;Commendable Contribution in Academics and All-round Development"e; from the Management of VIT, Jaipur, Rajasthan, India; and three Performance Incentives Award from Poornima College of Engineering, Jaipur, Rajasthan, India. He is an active member of many international societies/associations such as CSI, ICSES, and IAENG. Under the institute-industry linkage program, he delivers expert lectures on varied themes pertaining to Computer Science and Information Technology. As a prolific writer in the arena of Computer Sciences and Engineering, he has penned down a number of learning material on C, C++, Multimedia Systems, Cloud Computing, etc. He has one published patent in his credit and has contributed to more than 40 research papers in the conferences/journals/seminars of international and national repute. His area of interest includes Cloud Computing, Internet of Things, Computer Vision, Image Processing, Video Processing, and Machine Learning.LinkedIn Profile: https://www.linkedin.com/in/dr-kamlesh-lakhwani-7119944b/Dr Hemant Kumar Gianey obtained his PhD from Rajasthan; M.Tech (CSE) from the Rajasthan Technical University, Kota, Rajasthan; and B.E. from the Rajasthan University, Jaipur, Rajasthan, India. Presently, he is working as a Post-Doctoral Researcher in the National Chen Kung University of Taiwan, and as a lecturer at Thapar Institute of Engineering and Technology, Patiala, Punjab, India. He has about 15 years' experience (8 years in teaching and 7 years in the industry). His research interests include Big Data Analytics, Data Mining, and Machine Learning. He has conducted many workshops/FDPs (Faculty Development Programs) on Big Data Analytics at different colleges in India. He has also delivered guest lectures in colleges/universities in India. He has published 15 research papers in peer-reviewed international journals and conferences. Dr Hemant is also a reviewer of various reputed international journals in Elsevier, Springer, IEEE, Bentham Science, and IOS Press. He is an active member and helps organize many international seminars, workshops, and international conferences.LinkedIn Profile: https://www.linkedin.com/in/dr-hemant-kumar-gianey-05174186/Joseph Kofi Wireko is a full-time faculty member at the Faculty of IT-Business of the Ghana Technology University College (GTUC) in Accra, and Research Fellow in the Aalborg University, Denmark. He has over 20 years' experience in Academics, Industries, and Research work in Africa and Europe. He holds a Master of Science degree (MSc.) in International Marketing and Strategy from the Norwegian School of Management (BI). He also has a Master of Business Administration (MBA-marketing) degree from the University of Ghana after successfully completing his undergraduate studies in Geography and Resource Development with Political Science (B.A. Hons.) from the same university. Joseph's recent academic achievement, prior to undertaking his PhD studies (Aalborg University, Denmark), has been the completion of a post-graduate Certificate in Higher Education (PgCert HE) from the University of Coventry (UK). His recent research interest is in the studies of the intersection of information technology and marketing. He is interested in how to leverage technology, particularly the Internet in the socio-economic challenges in developing countries, in the area of smart cities concept application, digital marketing, online retailing, and the sharing economy. On one hand, he studies how data, particularly data that profiles individuals and depicts their social relationships, is gathered, processed and applied by firms to acquire and retain customers; on the other hand, he studies how stakeholders, particularly municipal and city authorities and policymakers, can leverage the presence and the ubiquitous nature of the Internet in creating demand-driven and multi-modal transportation systems, especially in developing countries.LinkedIn Profile: https://www.linkedin.com/in/joseph-wireko-19048a14/Kamal Kant Hiran works as an Assistant Professor in the School of Engineering at the Sir Padampat Singhania University (SPSU), Udaipur, Rajasthan, India, and also as a Research Fellow at the Aalborg University, Copenhagen, Denmark. He has a rich experience of 15+ years as an academician and researcher in Asia, Africa, and Europe. He has several awards to his credit, such as International travel grant for Germany from ITS Europe, Gold Medal Award in M. Tech (ICT), IEEE Ghana Section Award, IEEE Senior Member Recognition, IEEE Student Branch Award, Elsevier Reviewer Recognition Award, and the Best Research Paper Award from the University of Gondar, Ethiopia. He has published 38 research papers in peer-reviewed international journals and conferences. He has authored the book, "e;Cloud Computing: Concepts, Architecture, and Applications"e;, which was published in 2019 by Asia's largest publisher, BPB, New Delhi. He has also authored the book, "e;The Proliferation of Smart Devices on Mobile Cloud Computing"e;, which was published by Lambert Academic Publishing, Germany. He is a reviewer and an editorial board member of various reputed international journals in Elsevier, Springer, IEEE Transactions, Bentham Science, IGI Global, IJSET, IJTEE, IJSTR, and IJERT. He is an active member and helps organize many international seminars, workshops, and conferences in India, Ghana, Liberia, Denmark, Germany, Jordan, and Ethiopia.Web: http://www.kamalhiran.in/LinkedIn Profile: https://www.linkedin.com/in/kamal-kant-hiran-4553b643/
A Systematic Approach to Learn the Principles, Paradigms and Applications of Internet of Things DESCRIPTIONÊ In this book, Principles, Paradigm frameworks, and Applications of IoT (Internet of Things) in the modern era are presented. It also provides a sound understanding of the IoT concepts, architecture, and applications, and improves the awareness of readers about IoT technologies and application areas. A key objective of this book is to provide a systematic source of reference for all aspects of IoT. This book comprises nine chapters with close co-operation and contributions from four different authors, spanning across four countries and providing a global, broad perspective on major topics on the Internet of Things. KEY FEATURESÊÊ - IoT applications in various sectors like Education, Smart City, Politics, Healthcare, Agriculture, etc. - Adoption of the IoT technology and strategies for various sectors - To present case studies and innovative applications of the IoT - To analyze and present the state of the art of the IoT and related technologies and methodologies - To propose new models, practical solutions and technological advances of the IoT WHAT WILL YOU LEARNÊ - Become aware of the IoT components, their connectivity to form the IoT altogether, and future possibilities with IoT. - Understand how the various components of cloud computing work together to form the basic architecture of cloud computing. - Examine the relationship between the various layers in the IoT architecture. - Understand the programming framework for the Internet of Things (IoT) and various programming paradigms. WHO THIS BOOK IS FOR This book is intended for professionals, researchers, instructors, and designers of a smart system, who will benefit from reading this book. TABLE OF CONTENTS 1.Ê IoT Introduction 2. IoT Architectures and Protocols 3. Programming Framework for IoT 4. Virtualization and IoT 5. Security, Privacy and Challenges in IoT 6. IoT Applications Areas 7. IoT and Cloud 8. Smart City Using IoT integration 9. Case Studies 10. Important Key Terms 11. References
The present book is a collection of writeups contributed by various eminent artists and art critics on different kinds of art tetechniques. This book was first published in the year 1826.
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