Open access peer-reviewed Edited Volume

Machine Learning - Algorithms, Models and Applications

Jaydip Sen

Praxis Business School

Prof. Sen is a leading scientist in the area of artificial intelligence, machine learning, and cybersecurity, who is listed among the top 2 percent most-cited scientists in the world by Stanford University, USA.


Un/Supervised Learning Reinforcement Learning Logistic Regression K-Nearest Neighbors Multivariate Regression Support Vector Machines K-Means DBSCAN Deep Neural Networks Autoencoders Reinforcement Learning Markov Decision Process

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About the book

The book will cover all relevant concepts in machine learning and deep learning including supervised learning, semi-supervised learning, and unsupervised learning approaches. It will cover regression, classification, and clustering approaches to machine learning, predictive model building, model optimization using hyperparameter tuning etc. It will then delve into deep learning model architectures, their design, and optimization issues including the design of multi-layer perceptrons, deep neural networks, autoencoders, restricted Boltzmann machines, convolutional neural networks, long-and-short-term memory (LSTM) networks, recurrent neural networks.

Finally, the book will address core issues related to artificial intelligence particularly focusing on reinforcement learning-based systems. The contributions in the book can be either of three forms - (1) concepts of machine learning explained in a tutorial format for understanding of some concepts, (2) research contributions based on designing new algorithms and applications presenting some novel results, and (3) innovative applications of well-known theories and concepts. The chapters in the book will largely be based on the following topics but not necessarily limited to them: planning, design testing, and deployment of machine learning projects, classification models, regression models, support vector machines, decision trees, ensemble models, multilayer perceptions, training, validation, and testing of models, dimensionality reduction - singular value decomposition, principal component analysis, hyperparameter tuning, model optimization, deep neural networks, autoencoders, restricted Boltzmann machines, convolutional neural networks, recurrent neural networks, reinforcement learning, temporal difference learning etc.

Publishing process

Book initiated and editor appointed

Date completed: February 9th 2021

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline for chapter proposals: March 9th 2021

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

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Approved chapters written in full and submitted

Deadline for full chapters: May 8th 2021

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: July 27th 2021

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: September 25th 2021

All chapters are copy-checked and typesetted before being published. IntechOpen regularly submits its books to major databases for evaluation and coverage, including the Clarivate Analytics Book Citation Index in the Web of ScienceTM Core Collection. Other discipline-specific databases are also targeted, such as Web of Science's BIOSIS Previews.

About the editor

Jaydip Sen

Praxis Business School

Professor Jaydip Sen has worked for many organizations, including Oil and Natural Gas Corporation Ltd., India; Oracle India Pvt. Ltd.; Akamai Technology Pvt. Ltd.; Tata Consultancy Services Ltd.; and National Institute of Science and Technology, India. Prior to joining the NSHM Knowledge Campus, India, in December 2018 as the head of the Data Science and Computing School, Prof. Sen worked with Praxis Business School as a Professor of Business Analytics. Prior to that, he was a lead scientist in the Innovation Lab of Tata Consultancy Services, Kolkata, India, where he was involved in research and development in security and privacy aspects in wireless networks and the Internet of Things. His research areas include security in wired and wireless networks, intrusion detection systems, secure routing protocols in wireless ad hoc and sensor networks, secure multicast and broadcast communication in next-generation broadband wireless networks, trust- and reputation-based systems, quality of service in multimedia communication in wireless networks and cross-layer optimization-based resource allocation algorithms in next-generation wireless networks, sensor networks, and privacy issues in ubiquitous and pervasive communication, big data analytics, R, Python, Spark, Hadoop and MapReduce programming. Currently, he is active in the fields of applied statistical modelling, data mining and machine learning, data warehousing, and multi-dimensional modelling, social media and mobile analytics, artificial intelligence, and deep learning. Prof. Sen has more than 200 publications in international journals and referred conference proceedings (IEEE Xplore, ACM Digital Library, Springer LNCS etc.), and seventeen chapters in books. He has delivered expert talks and keynote lectures at various international conferences and symposia. He is a senior member of ACM, a member of IEEE, and a lifetime member of Indian Society of Technical Education (ISTE), and was also an active member of the security group of IEEE 802.16 standard body and European Telecommunication Standards Institute (ETSI). His biography has been listed in Marquis Who’s Who in the World annually since 2008. He has delivered invited talks at many prestigious international conferences both in India and abroad and has conducted a number of training programs for teachers of Computer Science and Engineering and Data Science at various universities. Prof. Sen has been listed among the world's top 2 percent scientists based on the impact and citation of his research work as per a study conducted by Stanford University, USA in September 2020.

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Book chapters authored 7

Books edited 6

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