Multivariate Analysis And Machine Learning Techniques
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Multivariate Analysis And Machine Learning Techniques
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Author : Srikrishnan Sundararajan
language : en
Publisher: Springer Nature
Release Date : 2025-05-29
Multivariate Analysis And Machine Learning Techniques written by Srikrishnan Sundararajan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Computers categories.
This book offers a comprehensive first-level introduction to data analytics. The book covers multivariate analysis, AI / ML, and other computational techniques for solving data analytics problems using Python. The topics covered include (a) a working introduction to programming with Python for data analytics, (b) an overview of statistical techniques – probability and statistics, hypothesis testing, correlation and regression, factor analysis, classification (logistic regression, linear discriminant analysis, decision tree, support vector machines, and other methods), various clustering techniques, and survival analysis, (c) introduction to general computational techniques such as market basket analysis, and social network analysis, and (d) machine learning and deep learning. Many academic textbooks are available for teaching statistical applications using R, SAS, and SPSS. However, there is a dearth of textbooks that provide a comprehensiveintroduction to the emerging and powerful Python ecosystem, which is pervasive in data science and machine learning applications. The book offers a judicious mix of theory and practice, reinforced by over 100 tutorials coded in the Python programming language. The book provides worked-out examples that conceptualize real-world problems using data curated from public domain datasets. It is designed to benefit any data science aspirant, who has a basic (higher secondary school level) understanding of programming and statistics. The book may be used by analytics students for courses on statistics, multivariate analysis, machine learning, deep learning, data mining, and business analytics. It can be also used as a reference book by data analytics professionals.
Multivariate Statistics And Machine Learning In R For Beginners
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Author : Andreas Tilevik
language : en
Publisher: Springer Nature
Release Date : 2026-01-01
Multivariate Statistics And Machine Learning In R For Beginners written by Andreas Tilevik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-01 with Mathematics categories.
This book is more than just a book – it is a full course designed as an interactive guide for beginners in multivariate analysis. Combining theoretical videos with practical examples in R, it offers readers a unique blend of theory, practice, and application in biology and medicine. In an era where data-driven insights shape every field, mastering multivariate statistics and machine learning techniques has never been more essential. Each chapter links directly to videos, which explain the theoretical foundations of the statistical or machine learning methods in a basic way. Following each video, readers will find R code that replicates the analyses presented in the videos, empowering them to see real-world applications in action. Many exercises are included, allowing the readers to test their understanding of each concept through hands-on practice. The book covers a comprehensive range of essential topics in multivariate statistics and machine learning, including fundamentals of matrix operations, multivariate plotting, and correlation, as well as methods for multivariate data analysis such as multivariate analysis of variance (MANOVA), principal component analysis (PCA), clustering, decision trees, discriminant analysis, random forest, partial least squares (PLS), canonical correlation analysis (CCA) and survival analysis. It also includes two case studies that reproduce the multivariate analyses in two scientific papers related to drug discovery and biomarker identification. By integrating videos with practical coding examples, this text makes complex topics accessible for beginners. The interactive learning approach ensures that readers not only grasp the statistical theories and machine learning concepts but also gain the confidence to apply them effectively in real-world scenarios.
Ict Analysis And Applications
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Author : Simon Fong
language : en
Publisher: Springer Nature
Release Date : 2020-12-15
Ict Analysis And Applications written by Simon Fong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-15 with Technology & Engineering categories.
This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 5th International Conference on ICT for Sustainable Development (ICT4SD 2020), held in Goa, India, on 23–24 July 2020. The conference provided a valuable forum for cutting-edge research discussions among pioneering researchers, scientists, industrial engineers, and students from all around the world. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
Advances In Artificial Intelligence And Machine Learning Applications For The Imaging Of Bone And Soft Tissue Tumors
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Author : Brandon K. K. Fields
language : en
Publisher: Frontiers Media SA
Release Date : 2025-01-03
Advances In Artificial Intelligence And Machine Learning Applications For The Imaging Of Bone And Soft Tissue Tumors written by Brandon K. K. Fields and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Science categories.
Increasing interest in the development and validation of quantitative imaging biomarkers for oncologic imaging has in recent years inspired a surge in the field of artificial intelligence and machine learning. Initial results showed promise in identifying potential markers of treatment response, malignant potential, and prognostic predictors, among others; however, while many of these early algorithms showed the optimistic ability to separate pathologic states on “in-house” datasets, it was often the case that these classifiers generalized poorly on external validation sets and thus were of limited utility in the clinical setting. This issue was additionally compounded by the frequent use of data filtering and feature selection techniques in many studies to further bolster the machine learning results in limited case scenarios, thereby biasing the overall fit and further reducing generalizability.
Multivariate Statistical Machine Learning Methods For Genomic Prediction
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Author : Osval Antonio Montesinos López
language : en
Publisher: Springer Nature
Release Date : 2022-02-14
Multivariate Statistical Machine Learning Methods For Genomic Prediction written by Osval Antonio Montesinos López and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-14 with Technology & Engineering categories.
This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.
Systems Medicine
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Author :
language : en
Publisher: Academic Press
Release Date : 2020-08-24
Systems Medicine written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-24 with Science categories.
Technological advances in generated molecular and cell biological data are transforming biomedical research. Sequencing, multi-omics and imaging technologies are likely to have deep impact on the future of medical practice. In parallel to technological developments, methodologies to gather, integrate, visualize and analyze heterogeneous and large-scale data sets are needed to develop new approaches for diagnosis, prognosis and therapy. Systems Medicine: Integrative, Qualitative and Computational Approaches is an innovative, interdisciplinary and integrative approach that extends the concept of systems biology and the unprecedented insights that computational methods and mathematical modeling offer of the interactions and network behavior of complex biological systems, to novel clinically relevant applications for the design of more successful prognostic, diagnostic and therapeutic approaches. This 3 volume work features 132 entries from renowned experts in the fields and covers the tools, methods, algorithms and data analysis workflows used for integrating and analyzing multi-dimensional data routinely generated in clinical settings with the aim of providing medical practitioners with robust clinical decision support systems. Importantly the work delves into the applications of systems medicine in areas such as tumor systems biology, metabolic and cardiovascular diseases as well as immunology and infectious diseases amongst others. This is a fundamental resource for biomedical students and researchers as well as medical practitioners who need to need to adopt advances in computational tools and methods into the clinical practice. Encyclopedic coverage: ‘one-stop’ resource for access to information written by world-leading scholars in the field of Systems Biology and Systems Medicine, with easy cross-referencing of related articles to promote understanding and further research Authoritative: the whole work is authored and edited by recognized experts in the field, with a range of different expertise, ensuring a high quality standard Digitally innovative: Hyperlinked references and further readings, cross-references and diagrams/images will allow readers to easily navigate a wealth of information
Key Digital Trends Shaping The Future Of Information And Management Science
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Author : Lalit Garg
language : en
Publisher: Springer Nature
Release Date : 2023-05-15
Key Digital Trends Shaping The Future Of Information And Management Science written by Lalit Garg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-15 with Technology & Engineering categories.
This book (proceedings of ISMS 2022) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of information systems and management science. This textbook shows how to exploit information systems in a technology-rich management field. The book introduces concepts, principles, methods, and procedures that will be valuable to students and scholars in thinking about existing organization systems, proposing new systems, and working with management professionals in implementing new information systems.
Principles Of Marketing Analytics
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Author : Ijeoma Onwumere
language : en
Publisher: Kogan Page Publishers
Release Date : 2026-02-03
Principles Of Marketing Analytics written by Ijeoma Onwumere and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-02-03 with Business & Economics categories.
This practical undergraduate textbook is ideal for understanding data-driven, analytical marketing skills. Principles of Marketing Analytics is an introductory textbook for undergraduate and postgraduate marketing students. Ijeoma Onwumere takes readers from foundational principles to applied insights of marketing analytics, developing the analytical mindset and confidence to make evidence-based marketing decisions. This textbook explains how data drives segmentation, targeting, campaign optimization, and forecasting, bridging marketing theory with analytical practice. Students will learn to collect, analyse and interpret data and explore how technologies such as machine learning and generative AI are transforming the discipline. Designed for both classroom learning and independent study, this textbook aligns with undergraduate modules in marketing analytics and digital marketing. It includes: - Frameworks including AIDA Model (Awareness, Interest, Desire, Action), CRO (conversion rate optimization) and TBL (triple bottom line) for applying analytics to marketing challenges - Real-world examples from Netflix, Walmart, Airbnb, Sephora, Nike and more that connect theory and practice and shows how data-driven insights power measurable impact - Exercises, discussion questions, and chapter summaries to consolidate learning - Key terms list and key learning points for quick review - Online resources for lecturers, including slides and a teaching guide Whether studying marketing analytics or preparing for a data-informed career, Principles of Marketing Analytics equips students with the skills to make confident, data-driven marketing decisions.
Machine Learning And Deep Learning In Efficacy Improvement Of Healthcare Systems
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Author : Om Prakash Jena
language : en
Publisher: CRC Press
Release Date : 2022-05-18
Machine Learning And Deep Learning In Efficacy Improvement Of Healthcare Systems written by Om Prakash Jena and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-18 with Computers categories.
The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to ensure high-quality data processing, medical image and signal analysis and improved healthcare applications. This book also explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems. Furthermore, it provides the healthcare sector with innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significant progress in the field of machine learning and deep learning in healthcare applications. FEATURES Explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems Provides guidance in developing intelligence-based diagnostic systems, efficient models and cost-effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping, experimental evaluation, real testbeds and empirical characterization of security and privacy interoperability issues in healthcare applications Explores and illustrates the current and future impacts of pandemics and mitigates risk in healthcare with advanced analytics This book is intended for students, researchers, professionals and policy makers working in the fields of public health and in the healthcare sector. Scientists and IT specialists will also find this book beneficial for research exposure and new ideas in the field of machine learning and deep learning.
Research Anthology On Mental Health Stigma Education And Treatment
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2021-02-05
Research Anthology On Mental Health Stigma Education And Treatment written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-05 with Medical categories.
In times of uncertainty and crisis, the mental health of individuals become a concern as added stressors and pressures can cause depression, anxiety, and stress. Today, especially with more people than ever experiencing these effects due to the Covid-19 epidemic and all that comes along with it, discourse around mental health has gained heightened urgency. While there have always been stigmas surrounding mental health, the continued display of these biases can add to an already distressing situation for struggling individuals. Despite the experience of mental health issues becoming normalized, it remains important for these issues to be addressed along with adequate education about mental health so that it becomes normalized and discussed in ways that are beneficial for society and those affected. Along with raising awareness of mental health in general, there should be a continued focus on treatment options, methods, and modes for healthcare delivery. The Research Anthology on Mental Health Stigma, Education, and Treatment explores the latest research on the newest advancements in mental health, best practices and new research on treatment, and the need for education and awareness to mitigate the stigma that surrounds discussions on mental health. The chapters will cover new technologies that are impacting delivery modes for treatment, the latest methods and models for treatment options, how education on mental health is delivered and developed, and how mental health is viewed and discussed. It is a comprehensive view of mental health from both a societal and medical standpoint and examines mental health issues in children and adults from all ethnicities and socio-economic backgrounds and in a variety of professions, including healthcare, emergency services, and the military. This book is ideal for psychologists, therapists, psychiatrists, counsellors, religious leaders, mental health support agencies and organizations, medical professionals, teachers, researchers, students, academicians, mental health practitioners, and more.