6.354 resultater (6,02227 sekunder)

Vis alle filtre

Mærke

Vis alle

Butik

Pris (EUR)

Nulstil filter

Produkter
Fra
Butikker

Machine Elements - Frederic E. Nystrom - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Elements - Frederic E. Nystrom - Bog - Taylor & Francis Ltd - Plusbog.dk

Focusing on how a machine "feels" and behaves while operating, Machine Elements: Life and Design seeks to impart both intellectual and emotional comprehension regarding the "life" of a machine. It presents a detailed description of how machines elements function, seeking to form a sympathetic attitude toward the machine and to ensure its wellbeing through more careful and proper design. The book is divided into three sections for accessibility and ease of comprehension. The first section is devoted to microscopic deformations and displacements both in permanent connections and within the bodies of stressed parts. Topics include relative movements in interference fit connections and bolted joints, visual demonstrations and clarifications of the phenomenon of stress concentration, and increasing the load capacity of parts using prior elasto-plastic deformation and surface plastic deformation. The second part examines machine elements and units. Topics include load capacity calculations of interference fit connections under bending, new considerations about the role of the interference fit in key joints, a detailed examination of bolts loaded by eccentrically applied tension forces, resistance of cylindrical roller bearings to axial displacement under load, and a new approach to the choice of fits for rolling contact bearings. The third section addresses strength calculations and life prediction of machine parts. It includes information on the phenomena of static strength and fatigue; correlation between calculated and real strength and safety factors; and error migration.

DKK 662.00
1

Muscle Strength - - Bog - Taylor & Francis Ltd - Plusbog.dk

Muscle Strength - - Bog - Taylor & Francis Ltd - Plusbog.dk

Muscle strength is an important topic for ergonomics practitioners and physiologists to understand, especially as it relates to workplace injuries. Muscle strength and function is at the heart of many injuries that lead to reduced productivity and economic strain on the worker, the company, and society as a whole. This comprehensive source of information and data relating to muscle strength is the first to present such information in a single source. Muscle Strength explains the general determinants of muscle strength such as gender, age, and muscle type. It illustrates physical data in the context of theoretical background and examines the protocols, techniques, devices, and data used to record muscle strength in various parts of the body. This is followed by a discussion of overexertion, strength prediction, strength and endurance, torque and EMG relationship, and muscle fatigue. Finally, the material is applied to the use of muscle in jobs, to product design, and to studies of job accommodation and the effect of disability on strength. Professionals in ergonomics, biomechanics, sports science, and physiology will find that this unique text provides insight and data on an important subject in their field.

DKK 662.00
1

Functional Strength Training for Physical Education - Nate Vankouwenberg - Bog - Human Kinetics Publishers - Plusbog.dk

Functional Strength Training for Physical Education - Nate Vankouwenberg - Bog - Human Kinetics Publishers - Plusbog.dk

Functional strength training is one of the most beneficial forms of fitness training, but it is often not included in a secondary physical education curriculum. Lack of equipment or weight rooms can be an issue, and uncertainty about how to teach students correct techniques can be intimidating. Plus, there may be misconceptions about strength training for secondary students, resulting in teachers excluding strength training or placing too much emphasis on machine-based isolation strength training. Functional Strength Training for Physical Education offers an easy-to-implement approach for teachers of all experience levels. It provides secondary physical education teachers an understanding of functional strength training benefits and how to develop a program that will give all students skills for their lifetime, regardless of what activities and occupations they pursue. It also offers coaches and strength and conditioning professionals a wealth of information to develop student-athletes at the middle school and high school levels. Functional Strength Training for Physical Education includes the following: - A comprehensive curriculum map to shape the program design, lesson planning, and assessments in the physical education setting - Detailed lists of functional strength training skill progressions based on 11 different movement categories, including 83 exercise variations, to meet the needs of all students - Step-by-step teaching methods and cues for all skill progressions to be used with or without equipment - Facility design guidelines to maximize space and budget in the school or training facility setting - Related online materials featuring 25 photo and video demonstrations with detailed exercise descriptions and external skill cues, as well as skill checklists, a sample curriculum map and design template, and templates for sport performance programs. Sample functional warm-ups as well as sample functional strength training plans provide further examples of what to include in a functional strength training program. In addition, all the programs, units, and curricula are guided by the latest SHAPE America national standards for physical education. Author Nate VanKouwenberg, a physical education teacher and the owner of his own strength and conditioning business, provides guidance on how to perform functional skills with proper techniques and how to design quality workouts connected to students’ personal goals. His approach to functional strength training helps students enjoy the fitness methods and apply them to everyday activities outside of the classroom or training facility. Functional Strength Training for Physical Education will help instructors provide secondary-level students the tools they need to build a strong foundation of fitness and wellness that will last for a lifetime. Note: A code for accessing HK Propel is included with all new print books.

DKK 412.00
1

Strength Training for Soccer - Bram Swinnen - Bog - Taylor & Francis Ltd - Plusbog.dk

Strength Training for Soccer - Bram Swinnen - Bog - Taylor & Francis Ltd - Plusbog.dk

Strength and power are key elements of soccer performance. A stronger player can sprint faster, jump higher, change direction more quickly and kick the ball harder. Strength Training for Soccer introduces the science of strength training for soccer. Working from a sound evidence-base, it explains how to develop a training routine that integrates the different components of soccer performance, including strength, speed, coordination and flexibility, and outlines modern periodization strategies that keep players closer to their peak over an extended period. Dealing with themes of injury prevention, rehabilitation and interventions, as well as performance, the book offers a uniquely focused guide to the principles of strength and conditioning in a footballing context. Fully referenced, and full of practical drills, detailed exercise descriptions, training schedules and year plans, Strength Training for Soccer is essential reading for all strength and conditioning students and any coach or trainer working in football.

DKK 608.00
1

Machine Learning Applications Using Python - Puneet Mathur - Bog - APress - Plusbog.dk

Machine Learning Applications Using Python - Puneet Mathur - Bog - APress - Plusbog.dk

Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies from each of these domains: you''ll see examples that demonstrate how to use machine learning as a tool for business enhancement. As a domain expert, you will not only discover how machine learning is used in finance, healthcare, and retail, but also work through practical case studies where machine learning has been implemented. Machine Learning Applications Using Python is divided into three sections, one for each of the domains (healthcare, finance, and retail). Each section starts with an overview of machine learning and key technological advancements in that domain. You''ll then learn more by using case studies on how organizations are changing the game in their chosen markets. This book has practical case studies with Python code and domain-specific innovative ideas for monetizing machine learning. What You Will Learn - Discover applied machine learning processes and principles - Implement machine learning in areas of healthcare, finance, and retail - Avoid the pitfalls of implementing applied machine learning - Build Python machine learning examples in the three subject areas Who This Book Is For Data scientists and machine learning professionals.

DKK 604.00
1

The Human Factor in Machine Translation - - Bog - Taylor & Francis Ltd - Plusbog.dk

The Human Factor in Machine Translation - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine translation has become increasingly popular, especially with the introduction of neural machine translation in major online translation systems. However, despite the rapid advances in machine translation, the role of a human translator remains crucial. As illustrated by the chapters in this book, man-machine interaction is essential in machine translation, localisation, terminology management, and crowdsourcing translation. In fact, the importance of a human translator before, during, and after machine processing, cannot be overemphasised as human intervention is the best way to ensure the translation quality of machine translation. This volume explores the role of a human translator in machine translation from various perspectives, affording a comprehensive look at this topical research area. This book is essential reading for anyone involved in translation studies, machine translation or interested in translation technology.

DKK 468.00
1

Machine Learning for Decision Makers - Patanjali Kashyap - Bog - APress - Plusbog.dk

Machine Learning for Decision Makers - Patanjali Kashyap - Bog - APress - Plusbog.dk

This new and updated edition takes you through the details of machine learning to give you an understanding of cognitive computing, IoT, big data, AI, quantum computing, and more. The book explains how machine learning techniques are used to solve fundamental and complex societal and industry problems. This second edition builds upon the foundation of the first book, revises all of the chapters, and updates the research, case studies, and practical examples to bring the book up to date with changes that have occurred in machine learning. A new chapter on quantum computers and machine learning is included to prepare you for future challenges. Insights for decision makers will help you understand machine learning and associated technologies and make efficient, reliable, smart, and efficient business decisions. All aspects of machine learning are covered, ranging from algorithms to industry applications. Wherever possible, required practical guidelines and best practices related to machine learning and associated technologies are discussed. Also covered in this edition are hot-button topics such as ChatGPT, superposition, quantum machine learning, and reinforcement learning from human feedback (RLHF) technology. Upon completing this book, you will understand machine learning, IoT, and cognitive computing and be prepared to cope with future challenges related to machine learning. What You Will LearnMaster the essentials of machine learning, AI, cloud, and the cognitive computing technology stackUnderstand business and enterprise decision-making using machine learningBecome familiar with machine learning best practicesGain knowledge of quantum computing and quantum machine learningWho This Book Is ForManagers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them

DKK 476.00
1

Introduction to Unified Strength Theory - Shu Qi Yu - Bog - Taylor & Francis Ltd - Plusbog.dk

Introduction to Unified Strength Theory - Shu Qi Yu - Bog - Taylor & Francis Ltd - Plusbog.dk

Strength theory deals with the yield or failure of materials under complex stress state. It is very important in mechanics of materials, strength of structures, and mechanical and civil engineering. Unified strength theory is a series of yield criteria and failure criteria other than a single strength theory. The unified strength theory can be adopted for various kinds of materials, such as metallic materials, geomaterials, polymers etc. It is the solution to the Voigt-Timoshenko Conundrum. Its limit surfaces cover all regions of the convex strength theory from the lower bound to the upper bound. This book gives a clear and brief description about the unified strength theory both in figures and text. Some applications of unified strength theory are also given in this book. This book is suitable for undergraduate students, who are studying the mechanics of materials and engineering mechanics, as well as for graduate students who are interested in this field. Researchers and engineers can also benefit from this book.

DKK 579.00
1

Functional Reverse Engineering of Machine Tools - - Bog - Taylor & Francis Ltd - Plusbog.dk

Functional Reverse Engineering of Machine Tools - - Bog - Taylor & Francis Ltd - Plusbog.dk

The purpose of this book is to develop capacity building in strategic and non-strategic machine tool technology. The book contains chapters on how to functionally reverse engineer strategic and non-strategic computer numerical control machinery. Numerous engineering areas, such as mechanical engineering, electrical engineering, control engineering, and computer hardware and software engineering, are covered. The book offers guidelines and covers design for machine tools, prototyping, augmented reality for machine tools, modern communication strategies, and enterprises of functional reverse engineering, along with case studies. Features - - Presents capacity building in machine tool development - - - Discusses engineering design for machine tools - - - Covers prototyping of strategic and non-strategic machine tools - - - Illustrates augmented reality for machine tools - - - Includes Internet of Things (IoT) for machine tools -

DKK 505.00
1

Machine Learning for Healthcare - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Learning for Healthcare - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods. This book expresses the long-standing challenges in healthcare informatics and provides rational explanations of how to deal with them. Machine Learning for Healthcare: Handling and Managing Data provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of machine learning applications. These are illustrated in a case study which examines how chronic disease is being redefined through patient-led data learning and the Internet of Things. This text offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare. Readers will discover the ethical implications of machine learning in healthcare and the future of machine learning in population and patient health optimization. This book can also help assist in the creation of a machine learning model, performance evaluation, and the operationalization of its outcomes within organizations. It may appeal to computer science/information technology professionals and researchers working in the area of machine learning, and is especially applicable to the healthcare sector. The features of this book include: - A unique and complete focus on applications of machine learning in the healthcare sector. An examination of how data analysis can be done using healthcare data and bioinformatics. An investigation of how healthcare companies can leverage the tapestry of big data to discover new business values. An exploration of the concepts of machine learning, along with recent research developments in healthcare sectors.

DKK 459.00
1

Distributed Machine Learning Patterns - Yuan Tang - Bog - Manning Publications - Plusbog.dk

Distributed Machine Learning Patterns - Yuan Tang - Bog - Manning Publications - Plusbog.dk

Practical patterns for scaling machine learning from your laptop to a distributed cluster. In Distributed Machine Learning Patterns you will learn how to: - - Apply distributed systems patterns to build scalable and reliable machine learning projects - - Construct machine learning pipelines with data ingestion, distributed training, model serving, and more - - Automate machine learning tasks with Kubernetes, TensorFlow, Kubeflow, and Argo Workflows - - Make trade offs between different patterns and approaches - - Manage and monitor machine learning workloads at scale - Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners. Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In Distributed Machine Learning Patterns , you''ll learn how to apply established distributed systems patterns to machine learning projects, and explore new ML-specific patterns as well. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines Distributed Machine Learning Patterns teaches you how to scale machine learning models from your laptop to large distributed clusters. In it, you''ll learn how to apply established distributed systems patterns to machine learning projects, and explore new ML-specific patterns as well. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Real-world scenarios, hands-on projects, and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines. about the technology Scaling up models from standalone devices to large distributed clusters is one of the biggest challenges faced by modern machine learning practitioners. Distributing machine learning systems allow developers to handle extremely large datasets across multiple clusters, take advantage of automation tools, and benefit from hardware accelerations. In this book, Kubeflow co-chair Yuan Tang shares patterns, techniques, and experience gained from years spent building and managing cutting-edge distributed machine learning infrastructure. about the book Distributed Machine Learning Patterns is filled with practical patterns for running machine learning systems on distributed Kubernetes clusters in the cloud. Each pattern is designed to help solve common challenges faced when building distributed machine learning systems, including supporting distributed model training, handling unexpected failures, and dynamic model serving traffic. Real-world scenarios provide clear examples of how to apply each pattern, alongside the potential trade offs for each approach. Once you''ve mastered these cutting edge techniques, you''ll put them all into practice and finish up by building a comprehensive distributed machine learning system.

DKK 459.00
1

Practical Machine Learning with Rust - Joydeep Bhattacharjee - Bog - APress - Plusbog.dk

Practical Machine Learning with Rust - Joydeep Bhattacharjee - Bog - APress - Plusbog.dk

Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you’ll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust libraries that help create applications for those domains. We will also look at how to deploy these applications either on site or over the cloud. After reading Practical Machine Learning with Rust, you will have a solid understanding of creating high computation libraries using Rust. Armed with the knowledge of this amazing language, you will be able to create applications that are more performant, memory safe, and less resource heavy. What You Will LearnWrite machine learning algorithms in RustUse Rust libraries for different tasks in machine learningCreate concise Rust packages for your machine learning applicationsImplement NLP and computer vision in RustDeploy your code in the cloud and on bare metal servers Who This Book Is For Machine learning engineers and software engineers interested in building machine learning applications in Rust.

DKK 385.00
1

Strength of Materials - R.k. Kaushik - Bog - TechSar Pvt. Ltd - Plusbog.dk

Strength of Materials - R.k. Kaushik - Bog - TechSar Pvt. Ltd - Plusbog.dk

This text provides comprehensive coverage all the major topics involving the application of concepts of strength of materials which a mechanical engineer will encounter. Structural and machine elements covered include: beams of all kinds; thin and thick cylinders and spherical cells; columns and struts; bars; discs and cylinders; springs; frames; dams; and trusses. Solid mechanics parameters covered include all types of stresses and strains, torsion, bending moments, moments of inertia, centre of gravity, and elastic constants. Various theories of elastic failure are also covered. A dedicated chapter on mechanical testing of materials will help students in understanding how the strength of materials is determined in laboratory conditions. More than 300 chapter end questions are provided. The text is supplemented with line diagrams. Topics are discussed in a sequence of gradually increasing level of difficulty. More complex topics such as principal stresses, theory of failure, bending of curved bars, thick cylinders, strain energy, continuous beams, fixed beams are clearly explained to be accessible to all students.

DKK 495.00
1

Conditioning for Strength and Human Performance - - Bog - Taylor & Francis Ltd - Plusbog.dk

Conditioning for Strength and Human Performance - - Bog - Taylor & Francis Ltd - Plusbog.dk

The field of strength and conditioning is growing and changing rapidly. This new fourth edition of Conditioning for Strength and Human Performance updates the reader with new developments in the field and focuses on the information a strength and conditioning coach needs to be informed and successful. With a new flow of chapters and modifications to existing chapters, the topics are organized to be relevant and useful to all readers. Providing balanced content to meet the needs of the professor and the student in the field of strength and conditioning, this book is designed for an academic class in strength and conditioning in the final year of an undergraduate program or the first year of a graduate program. No other book provides such a thorough grounding in the science of strength and conditioning or better prepares students for evidence-based practice. The book is easy to implement for instructors and written to be understandable to the student of strength and conditioning. Students are provided access to PowerPoint slides, key points, case examples, discussion questions, real-world applications, and other ancillary material. In addition, instructors are provided exam questions and other ancillary materials.

DKK 637.00
1

Machine Intelligence - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Intelligence - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machines are being systematically empowered to be interactive and intelligent in their operations, offerings. and outputs. There are pioneering Artificial Intelligence (AI) technologies and tools. Machine and Deep Learning (ML/DL) algorithms, along with their enabling frameworks, libraries, and specialized accelerators, find particularly useful applications in computer and machine vision, human machine interfaces (HMIs), and intelligent machines. Machines that can see and perceive can bring forth deeper and decisive acceleration, automation, and augmentation capabilities to businesses as well as people in their everyday assignments. Machine vision is becoming a reality because of advancements in the computer vision and device instrumentation spaces. Machines are increasingly software-defined. That is, vision-enabling software and hardware modules are being embedded in new-generation machines to be self-, surroundings, and situation-aware. Machine Intelligence: Computer Vision and Natural Language Processing emphasizes computer vision and natural language processing as drivers of advances in machine intelligence. The book examines these technologies from the algorithmic level to the applications level. It also examines the integrative technologies enabling intelligent applications in business and industry. Features: - Motion images object detection over voice using deep learning algorithms - Ubiquitous computing and augmented reality in HCI - Learning and reasoning in Artificial Intelligence - Economic sustainability, mindfulness, and diversity in the age of artificial intelligence and machine learning - Streaming analytics for healthcare and retail domains Covering established and emerging technologies in machine vision, the book focuses on recent and novel applications and discusses state-of-the-art technologies and tools.

DKK 630.00
1

Advanced Strength and Conditioning - - Bog - Taylor & Francis Ltd - Plusbog.dk

Advanced Strength and Conditioning - - Bog - Taylor & Francis Ltd - Plusbog.dk

Becoming an effective strength and conditioning practitioner requires the development of a professional skills set and a thorough understanding of the scientific basis of best practice. Aimed at advanced students and novice-to-expert practitioners, in this book the authors explore the latest scientific evidence and apply it to exercise selection and programming choices across the full range of areas in strength and conditioning, from strength and power, speed and agility, to aerobic conditioning. Since the first edition of this text was written extensive research has expanded the supporting evidence base that provides the theoretical foundation for each chapter. In addition, some areas that were previously under-researched have now been expanded and some key concepts have been further challenged. Each chapter is written by experts with experience in a wide variety of sports, including both applied and research experience, ensuring this concise but sophisticated textbook is the perfect bridge from introductory study to effective professional practice. While advanced concepts are explored within the book, the coach must not forget that consistency in the application of the basic principles of strength and conditioning is the foundation of athletic development. Advanced Strength and Conditioning: An Evidence- based Approach is a valuable resource for all advanced students and practitioners of strength and conditioning and fitness training.

DKK 579.00
1

Machine Learning with PySpark - Pramod Singh - Bog - APress - Plusbog.dk

Machine Learning with PySpark - Pramod Singh - Bog - APress - Plusbog.dk

Master the new features in PySpark 3.1 to develop data-driven, intelligent applications. This updated edition covers topics ranging from building scalable machine learning models, to natural language processing, to recommender systems. Machine Learning with PySpark, Second Edition begins with the fundamentals of Apache Spark, including the latest updates to the framework. Next, you will learn the full spectrum of traditional machine learning algorithm implementations, along with natural language processing and recommender systems. You''ll gain familiarity with the critical process of selecting machine learning algorithms, data ingestion, and data processing to solve business problems. You''ll see a demonstration of how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forests. You''ll also learn how to automate the steps using Spark pipelines, followed by unsupervised models such as K-means and hierarchical clustering. A section on Natural Language Processing (NLP) covers text processing, text mining, and embeddings for classification. This new edition also introduces Koalas in Spark and how to automate data workflow using Airflow and PySpark''s latest ML library. After completing this book, you will understand how to use PySpark''s machine learning library to build and train various machine learning models, along with related components such as data ingestion, processing and visualization to develop data-driven intelligent applications What you will learn: - Build a spectrum of supervised and unsupervised machine learning algorithms - Use PySpark''s machine learning library to implement machine learning and recommender systems - Leverage the new features in PySpark''s machine learning library - Understand data processing using Koalas in Spark - Handle issues around feature engineering, class balance, bias and variance, and cross validation to build optimally fit models Who This Book Is For Data science and machine learning professionals.

DKK 509.00
1

Machine Learning Using R - Karthik Ramasubramanian - Bog - APress - Plusbog.dk

Machine Learning Using R - Karthik Ramasubramanian - Bog - APress - Plusbog.dk

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R. As in the first edition, the authors have kept the fine balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics in machine learning. New chapters in this edition cover time series models and deep learning. What You''ll Learn - Understand machine learning algorithms using R - Master the process of building machine-learning models - Cover the theoretical foundations of machine-learning algorithms - See industry focused real-world use cases - Tackle time series modeling in R - Apply deep learning using Keras and TensorFlow in R Who This Book is For Data scientists, data science professionals, and researchers in academia who want to understand the nuances of machine-learning approaches/algorithms in practice using R.

DKK 519.00
1