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[booksz]

Materials Science And Engineering
English | 2017 | ISBN: 9813226501 | 1168 Pages | PDF (True) | 271 MB
In this conference, we have received over 272 high-quality papers, however, only 160 articles are included in the proceedings, covering topics such as ceramics and glasses, amorphous materials, nanomaterials and thin layers, soft magnetic materials, biomaterials, polymers, photovoltaic materials, steels, tool materials, composites, as well as functional and smart materials.

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[booksz]

Materials Science: Theory and Engineering by Nestor Perez
English | August 3, 2024 | ISBN: 3031571517 | 940 pages | MOBI | 160 Mb
This textbook presents a compilation of class-tested materials and the results of research on a range of topics in into one comprehensive volume for readers engaged in the materials science and engineering aspects of phase transformation in metals. Accordingly, this is a suitable textbook for undergraduate and graduate students in the fields of mechanical engineering, materials science, metallurgical engineering, and related disciplines. The book incorporates two-dimensional materials, crystal defects, mass transport, thermodynamics of phase, solidification heat transfer, solidification and phase diagrams related to nucleation particle phases and explains solid-state phase transformation, mechanical behaviour and fracture toughness, non-destructive methods, physical and optical properties of solids, and electrochemical corrosion. It also stands as an excellent reference treatise for practicing and consulting engineers. Moreover, the book is appropriate for graduate-level coursework, covering advanced subjects including quantum mechanics, two dimensional materials, fracture mechanics, non-destructive methods for evaluating structural integrity, and advanced analytical techniques in some appendices.

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[booksz]

Math for Data Science
English | 2025 | ISBN: 3031897064 | 588 Pages | PDF (True) | 21 MB
Math for Data Science presents the mathematical foundations necessary for studying and working in Data Science. The book is suitable for courses in applied mathematics, business analytics, computer science, data science, and engineering. The text covers the portions of linear algebra, calculus, probability, and statistics prerequisite to Data Science. The highlight of the book is the machine learning chapter, where the results of the previous chapters are applied to neural network training and stochastic gradient descent. Also included in this last chapter are advanced topics such as accelerated gradient descent and logistic regression trainability.

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Mathematical Methods For The Natural And Engineering Sciences
English | 2017 | ISBN: 981320270X | 640 Pages | PDF (True) | 4 MB
This second edition provides a broad range of methods and concepts required for the analysis and solution of equations which arise in the modeling of phenomena in the natural, engineering, and applied mathematical sciences. It may be used productively by both undergraduate and graduate students, as well as others who wish to learn, understand, and apply these techniques. Detailed discussions are also given for several topics that are not usually included in standard textbooks at this level of presentation: qualitative methods for differential equations, dimensionalization and scaling, elements of asymptotics, difference equations and several perturbation procedures. Further, this second edition includes several new topics covering functional equations, the Lambert-W function, nonstandard sets of periodic functions, and the method of dominant balance. Each chapter contains a large number of worked examples and provides references to the appropriate books and literature.

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Mathematical Modeling, Applied Analysis and Computational Methods
English | 2025 | ISBN: 9819634598 | 298 Pages | PDF EPUB (True) | 61 MB
This volume presents a curated selection of papers presented at the International Conference on Applied and Industrial Mathematics (ICAIM 2023), hosted by Sharda University in Greater Noida, Uttar Pradesh, India, from 24-26 March 2023. It delves into diverse realms of mathematical modelling, applied analyses, computational methods and industrial mathematics. Each chapter within this collection offers intriguing insights into tackling real-world challenges through the lens of mathematical modelling and computational approaches. The book traverses an array of compelling subjects from safeguarding secrets through specialized codes to optimizing solar energy utilization. It illuminates how mathematics is potent in unravelling intricate problems, such as understanding disease propagation or enhancing machine learning algorithms. Through lucid explanations and engaging examples, this volume is tailored for curious minds eager to delve into the marvels of mathematics from fresh perspectives.

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Mathematical Thinking and Properties in Architecture: Palladio, Le Corbusier, and Eisenman
English | 2025 | ISBN: 3031863895 | 230 Pages | PDF EPUB (True) | 52 MB
This monograph explores the profound connections between architecture and mathematics through the works of Andrea Palladio, Le Corbusier, and Peter Eisenman. Combining historical insights with computational analyses, it examines the social, spatial, and aesthetic properties of twenty-six iconic designs. Advanced methods such as Space Syntax, isovists, fractal analysis, image segmentation and semantic linguistic analysis reveal the mathematical principles underlying architectural thinking and properties.

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Mathematics and Its Connections to the Arts and Sciences (MACAS): 15 Years of Interdisciplinary Mathematics Education
by Claus Michelsen, Astrid Beckmann
English | 2022 | ISBN: 3031105176 | 585 Pages | True ePUB | 80 MB

This book celebrates the 15th anniversary of the bi-annual symposium series Mathematics and its Connections to the Arts and Sciences (MACAS), which was first held in 2005 following the continued collaboration of an international group of researchers from ICME Topic Study Group 21. The MACAS-conferences bring together scientists and educators who are interested in the connection between mathematics, arts and science in educational curriculum, while emphasizing on, as well as researching about, the role of mathematics.
By pooling together these different approaches and viewpoints between mathematics, arts and sciences, this book reveals possible synergies and paths for collaborations. In view of the challenges of the 21st century, a modern approach to education with a focus on multi- and interdisciplinarity is more important than ever. The role of mathematics assumes a key role in this approach as it is connected to all other disciplines, suchas STEM education, physics, chemistry, biology, aesthetics and language, and can serve as a bridge between them.
This book discusses, amongst others, the curricular approaches to integrate mathematics and other disciplines, the importance of mathematical modelling and the interdisciplinarity ways for learning and studying of mathematics, as well as the intercultural dimensions of mathematics and mathematics in the digital era. All topics will be presented from very different perspectives and regarding very different contexts, including digitization, culture and sustainability.
This unique collection will serve as a very valuable and compact source for all above mentioned scientists and educators, as well as for use in advanced teacher education courses.

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Mathematics for Sustainable Industry
English | 2025 | ISBN: 3031859251 | 348 Pages | PDF EPUB (True) | 63 MB
This volume gathers selected, peer-reviewed contributions presented at the 5th International Seminar on Mathematics in Industry - ISMI2024, held on September 9-11, 2024 in Kuala Lumpur, Malaysia. Articles in this volume touch on fields such as applied mathematics, applied probability theory and stochastic modeling, statistical modeling, operations research, biomathematics, optimization, inventory management, supply chain, and computational mathematics, all with an emphasis on solutions to real-world problems. Many of the studies contained here closely relate to the United Nations' Sustainable Development Goals, namely SDG 9 (Industry) and SDG 3 (Health), potentially inspiring practitioners and scholars to deploy these findings and pursue similar avenues of research.

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Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning
English | 2025 | ISBN: 1837027870 | 1045 Pages | MOBI AZW3 | 181 MB
Mathematics of Machine Learning provides a rigorous yet accessible introduction to the mathematical underpinnings of machine learning, designed for engineers, developers, and data scientists ready to elevate their technical expertise. With this book, you'll explore the core disciplines of linear algebra, calculus, and probability theory essential for mastering advanced machine learning concepts.

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Mathematics of Machine Learning
by Tivadar Danka
English | 2025 | ISBN: 1837027870 | 731 pages | True PDF EPUB | 135.06 MB

Build a solid foundation in the core math behind machine learning algorithms with this comprehensive guide to linear algebra, calculus, and probability, explained through practical Python examples
Purchase of the print or Kindle book includes a free PDF eBook
Key Features
Master linear algebra, calculus, and probability theory for ML
Bridge the gap between theory and real-world applications
Learn Python implementations of core mathematical concepts
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Mathematics of Machine Learning provides a rigorous yet accessible introduction to the mathematical underpinnings of machine learning, designed for engineers, developers, and data scientists ready to elevate their technical expertise. With this book, you'll explore the core disciplines of linear algebra, calculus, and probability theory essential for mastering advanced machine learning concepts.
PhD mathematician turned ML engineer Tivadar Danka-known for his intuitive teaching style that has attracted 100k+ followers-guides you through complex concepts with clarity, providing the structured guidance you need to deepen your theoretical knowledge and enhance your ability to solve complex machine learning problems. Balancing theory with application, this book offers clear explanations of mathematical constructs and their direct relevance to machine learning tasks. Through practical Python examples, you'll learn to implement and use these ideas in real-world scenarios, such as training machine learning models with gradient descent or working with vectors, matrices, and tensors.
By the end of this book, you'll have gained the confidence to engage with advanced machine learning literature and tailor algorithms to meet specific project requirements.
What you will learn
Understand core concepts of linear algebra, including matrices, eigenvalues, and decompositions
Grasp fundamental principles of calculus, including differentiation and integration
Explore advanced topics in multivariable calculus for optimization in high dimensions
Master essential probability concepts like distributions, Bayes' theorem, and entropy
Bring mathematical ideas to life through Python-based implementations
Who this book is for
This book is for aspiring machine learning engineers, data scientists, software developers, and researchers who want to gain a deeper understanding of the mathematics that drives machine learning. A foundational understanding of algebra and Python, and basic familiarity with machine learning tools are recommended.
Table of Contents
Vectors and vector spaces
The geometric structure of vector spaces
Linear algebra in practice spaces: measuring distances
Linear transformations
Matrices and equations
Eigenvalues and eigenvectors
Matrix factorizations
Matrices and graphs
Functions
Numbers, sequences, and series
Topology, limits, and continuity
Differentiation
Optimization
Integration
Multivariable functions
Derivatives and gradients
Optimization in multiple variables
What is probability?
Random variables and distributions
The expected value
The maximum likelihood estimation
It's just logic
The structure of mathematics
Basics of set theory
Complex numbers

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[booksz]

Mathematik trainieren: Brüche, Funktionen & Co.: Womit man im MINT-Studium rechnen muss
Deutsch | 2025 | ISBN: 3662706067 | 307 Pages | PDF (True) | 11 MB
Dieses Buch gibt eine Hilfestellung bei der Vorbereitung auf ein MINT-Studium. Viele angehende Studierende dieser Fächer zeigen größere Lücken im elementaren mathematischen Grundwissen. Das Buch richtet sich an diejenigen, die mit Motivation und Fleiß ihre Kenntnisse in den ausgewählten mathematischen Themenkomplexen vor Studienbeginn und in den ersten Semestern verbessern möchten, speziell bei einer längeren Pause nach der Reifeprüfung oder ohne Abitur.

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MATLAB Primer
English | 2025 | ISBN: n/a | 184 Pages | PDF (True) | 2 MB

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Maturity Business Models for Manufacturing in the Digital Age by Bożena Gajdzik, Magdalena Jaciow, Radoslaw Wolniak
English | February 28, 2025 | ISBN: 1032729708 | 190 pages | MOBI | 4.68 Mb
The book primarily focuses on the process of industrial transformation in the era of digitalization. It meticulously discusses the processes, technologies, and business models that delineate modern industrial landscapes. A business maturity model is a tool used in organizations to assess how advanced their processes, systems, and procedures are. This model is utilized to identify areas that might require improvements, and then to measure progress in these improvements. The goal is to achieve "maturity", meaning the organization has well-defined, measurable, and repeatable processes. The first chapter traces the evolution of the manufacturing sector, emphasizing the shift toward digitalization and automation, while considering historical context and future trends. The second chapter examines business maturity models, reviewing current approaches and arguing for a broader perspective that includes environmental and social considerations. Chapter three introduces a research model for assessing the maturity of Polish manufacturing companies, detailing the methodology and research instruments used. The fourth chapter presents case studies from Polish industries (automotive, steel, and food), providing practical insights into the application of maturity models in real-world scenarios.

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Kanchan Dholam, "Maxillofacial Prosthetics and Dental Oncology: Practical approach from a high volume head and neck cancer centre"
English | ISBN: 9819951941 | 2024 | 445 pages | EPUB | 114 MB
The book is an assimilation of clinical and practical work done at Tata Memorial Hospital, a prestigious tertiary care cancer hospital in our country. It reflects the evolution of Dental Oncology and Maxillofacial Prosthodontics and more than 33 years of exclusive maxillofacial prosthodontic experience of Dr. Kanchan Dholam. This book covers the clinical guidelines for treatment, based on sound scientific principles and published literature. It also provides a step-by-step approach in the fabrication of commonly-indicated maxillofacial prostheses. It makes an excellent refresher book in Maxillofacial Prosthodontics for all practicing dental post-graduates who want to know more about the subject. The book also contains valuable contributions in Dental Oncology from senior faculty members of the Division of Head and Neck Oncology at Tata Memorial Hospital.

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Measuring Performance and Benchmarking Project Management at the Department of Energy By National Research Council; Division on Engineering and Physical Sciences; Board on Infrastructure and the Constructed Environment; Committee for Oversight and Assessment of U.S. Department of Energy Project Management
2005 | 52 Pages | ISBN: 0309097088 | EPUB | 1 MB
In 1997, Congress directed the National Research Council (NRC) to carry out a series of assessments of project management at the Department of Energy (DOE). This report presents information and guidance for use towards the development of a viable methodology to suit DOE's needs.

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[booksz]

Measuring to Improve
by Paul G. LeMahieu;Paul Cobb;, Cobb, Paul
English | 2025 | ISBN: 1682539679 | 246 pages | True EPUB | 7.41 MB

A first-in-field compilation of best practices for the design and implementation of practical measurement for improvement in K-12 education
In Measuring to Improve, Paul G. LeMahieu, Paul Cobb, and contributors introduce educational practitioners, administrators, and policymakers to the foundational elements of practical measurement to support continuous improvement efforts in K-12 schools. They begin by defining practical measurement as data collection and analysis that is relevant to practice, useful to practitioners, and designed to guide and even be integrated into practice. LeMahieu and Cobb discuss the importance of practical measurement as it relates to and informs the core principles of improvement science.
Contributors present five detailed case studies of practical measurement in action across a variety of contexts and improvement efforts in districts throughout the United States. The outcomes of these research-practice partnerships show how solutions to issues-including increasing high school graduation rates, improving college entrance rates, redesigning mathematics instruction, enhancing student literacy and writing skills, and redressing systemic inequities-can be informed by practical measurement. And they describe proven approaches for the design and implementation of measurement systems that align with a validity framework. They provide actionable suggestions for core elements such as tracking, testing, administering exit tickets and surveys, and collaboration.
This useful work provides a blueprint that can guide practitioners in incorporating practical measurement as a central element of educational improvement efforts.

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[booksz]

Mechanics And Materials Science
English | 2018 | ISBN: 9813228164 | 1283 Pages | PDF (True) | 186 MB
Aimed at providing an excellent international academic forum for all the researchers and practitioners, the conference attracted a wide spread participation among all over the universities and research institutes. MMS2016 features unique mixed topics of Mechatronics and Automation, Materials Science and Engineering, Materials Properties, Measuring Methods and Applications.

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Mediating Presence:
Immersive Experience Design Workbook for UX Designers, Filmmakers, Artists, and Content Creators
English | 2025 | ISBN: 1032580836 | 477 Pages | PDF EPUB (True) | 9 MB

Mediating Presence: Immersive Experience Design Workbook for UX Designers, Filmmakers, Artists, and Content Creators provides the foundation for a broader understanding of the impact of XR as the next medium. The methods presented draw from a wide range of disciplines and professional practice to provide a practical guide to design methods, production techniques, best practices, and terminology that provides an effective road map for developing immersive experiences using augmented reality, virtual reality, augmented virtuality, and other emerging immersive media forms.

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Medical Education in Geriatrics: Strategies for Teaching the Care of Older Adults by Andrea Wershof Schwartz
English | August 11, 2024 | ISBN: 3031324986 | 379 pages | MOBI | 6.76 Mb
Medical Education in Geriatrics: Strategies for Teaching the Care of Older Adults provides an overview of evidence-based strategies for teaching geriatrics in medical education. This book is for clinician educators: both for those with geriatrics expertise seeking to increase their knowledge and skill in education, and for those medical educators seeking to expand their knowledge of how to teach geriatric principles to their learners and thereby prepare them to care for older adults. Written by experts and leaders in Geriatric Medical Education from across the US and Canada, Medical Education in Geriatrics highlights approaches for creating effective educational experiences in geriatrics for learners ranging from pre-clinical medical students, through residency, fellowship and continuing medical education, as well as interprofessional education, with an emphasis on evidence-based, engaging and memorable teaching strategies. The book also provides strategies for teaching geriatrics in a variety of settings, including the hospital, outpatient settings, nursing home, home care, and telemedicine. Additional chapters address considerations in teaching geriatrics, including Diversity, Equity and Inclusion, Providing Feedback, assessment in geriatric medical education, online resources, and other topics that will help educators deliver excellent medical education in geriatrics.

Medical Education in Geriatrics: Strategies for Teaching the Care of Older Adults provides practical and evidence-based strategies for teaching principles of geriatrics in a variety of settings and will be a valuable and practical resource for geriatricians, palliative medicine specialists and trainees, family medicine and internal medicine clinicians and medical educators, medical educators in pre-clinical and clinical settings, residency and fellowship directors, and medical students and residents interested in geriatrics and the care of older adults.

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Linwei Wang, "Medical Image Computing and Computer Assisted Intervention - MICCAI 2022: 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V"
English | ISBN: 3031164423 | 2022 | 780 pages | EPUB | 111 MB
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022.

The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections:
Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology;
Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging;
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