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Machine Learning Applications - - Bog - John Wiley & Sons Inc - Booktok.dk

Machine Learning Applications - - Bog - John Wiley & Sons Inc - Booktok.dk

Machine Learning Applications Practical resource on the importance of Machine Learning and Deep Learning applications in various technologies and real-world situations Machine Learning Applications discusses methodological advancements of machine learning and deep learning, presents applications in image processing, including face and vehicle detection, image classification, object detection, image segmentation, and delivers real-world applications in healthcare to identify diseases and diagnosis, such as creating smart health records and medical imaging diagnosis, and provides real-world examples, case studies, use cases, and techniques to enable the reader’s active learning. Composed of 13 chapters, this book also introduces real-world applications of machine and deep learning in blockchain technology, cyber security, and climate change. An explanation of AI and robotic applications in mechanical design is also discussed, including robot-assisted surgeries, security, and space exploration. The book describes the importance of each subject area and detail why they are so important to us from a societal and human perspective. Edited by two highly qualified academics and contributed to by established thought leaders in their respective fields, Machine Learning Applications includes information on: Content based medical image retrieval (CBMIR), covering face and vehicle detection, multi-resolution and multisource analysis, manifold and image processing, and morphological processing Smart medicine, including machine learning and artificial intelligence in medicine, risk identification, tailored interventions, and association rules AI and robotics application for transportation and infrastructure (e.g., autonomous cars and smart cities), along with global warming and climate change Identifying diseases and diagnosis, drug discovery and manufacturing, medical imaging diagnosis, personalized medicine, and smart health records With its practical approach to the subject, Machine Learning Applications is an ideal resource for professionals working with smart technologies such as machine and deep learning, AI, IoT, and other wireless communications; it is also highly suitable for professionals working in robotics, computer vision, cyber security and more.

DKK 908.00
4

Handbook of Human-Machine Systems - Bog af Fortino - Hardback

Handbook of Human-Machine Systems - Bog af Fortino - Hardback

Insightful and cutting-edge discussions of recent developments in human-machine systemsIn Handbook of Human-Machine Systems, a team of distinguished researchers delivers a comprehensive exploration of human-machine systems (HMS) research and development from a variety of illuminating perspectives. The book offers a big picture look at state-of-the-art research and technology in the area of HMS. Contributing authors cover Brain-Machine Interfaces and Systems, including assistive technologies like..

DKK 1814.95
2

Machine Learning for iOS Developers - Abhishek Mishra - Bog - John Wiley & Sons Inc - Plusbog.dk

Machine Learning for iOS Developers - Abhishek Mishra - Bog - John Wiley & Sons Inc - Plusbog.dk

Harness the power of Apple iOS machine learning (ML) capabilities and learn the concepts and techniques necessary to be a successful Apple iOS machine learning practitioner! Machine earning (ML) is the science of getting computers to act without being explicitly programmed. A branch of Artificial Intelligence (AI), machine learning techniques offer ways to identify trends, forecast behavior, and make recommendations. The Apple iOS Software Development Kit (SDK) allows developers to integrate ML services, such as speech recognition and language translation, into mobile devices, most of which can be used in multi-cloud settings. Focusing on Apple’s ML services, Machine Learning for iOS Developers is an up-to-date introduction to the field, instructing readers to implement machine learning in iOS applications. Assuming no prior experience with machine learning, this reader-friendly guide offers expert instruction and practical examples of ML integration in iOS. Organized into two sections, the book’s clearly-written chapters first cover fundamental ML concepts, the different types of ML systems, their practical uses, and the potential challenges of ML solutions. The second section teaches readers to use models—both pre-trained and user-built—with Apple’s CoreML framework. Source code examples are provided for readers to download and use in their own projects. This book helps readers: Understand the theoretical concepts and practical applications of machine learning used in predictive data analyticsBuild, deploy, and maintain ML systems for tasks such as model validation, optimization, scalability, and real-time streamingDevelop skills in data acquisition and modeling, classification, and regression. Compare traditional vs. ML approaches, and machine learning on handsets vs. machine learning as a service (MLaaS)Implement decision tree based models, an instance-based machine learning system, and integrate Scikit-learn & Keras models with CoreML Machine Learning for iOS Developers is a must-have resource software engineers and mobile solutions architects wishing to learn ML concepts and implement machine learning on iOS Apps.

DKK 299.00
3

Machine Learning Upgrade - Caleb Kaiser - Bog - John Wiley & Sons Inc - Booktok.dk

Machine Learning Upgrade - Caleb Kaiser - Bog - John Wiley & Sons Inc - Booktok.dk

A much-needed guide to implementing new technology in workspaces From experts in the field comes Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure, a book that provides data scientists and managers with best practices at the intersection of management, large language models (LLMs), machine learning, and data science. This groundbreaking book will change the way that you view the pipeline of data science. The authors provide an introduction to modern machine learning, showing you how it can be viewed as a holistic, end-to-end system—not just shiny new gadget in an otherwise unchanged operational structure. By adopting a data-centric view of the world, you can begin to see unstructured data and LLMs as the foundation upon which you can build countless applications and business solutions. This book explores a whole world of decision making that hasn't been codified yet, enabling you to forge the future using emerging best practices. Gain an understanding of the intersection between large language models and unstructured dataFollow the process of building an LLM-powered application while leveraging MLOps techniques such as data versioning and experiment trackingDiscover best practices for training, fine tuning, and evaluating LLMsIntegrate LLM applications within larger systems, monitor their performance, and retrain them on new data This book is indispensable for data professionals and business leaders looking to understand LLMs and the entire data science pipeline.

DKK 300.00
4

Machine Learning - Steven W. Knox - Bog - John Wiley & Sons Inc - Plusbog.dk

Machine Learning - Steven W. Knox - Bog - John Wiley & Sons Inc - Plusbog.dk

AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONSPROSE Award Finalist 2019 Association of American Publishers Award for Professional and Scholarly Excellence Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concepts, approaches, and applications of machine learning. The author—an expert in the field—presents fundamental ideas, terminology, and techniques for solving applied problems in classification, regression, clustering, density estimation, and dimension reduction. The design principles behind the techniques are emphasized, including the bias-variance trade-off and its influence on the design of ensemble methods. Understanding these principles leads to more flexible and successful applications. Machine Learning: a Concise Introduction also includes methods for optimization, risk estimation, and model selection— essential elements of most applied projects. This important resource: - - Illustrates many classification methods with a single, running example, highlighting similarities and differences between methods - - Presents R source code which shows how to apply and interpret many of the techniques covered - - Includes many thoughtful exercises as an integral part of the text, with an appendix of selected solutions - - Contains useful information for effectively communicating with clients - A volume in the popular Wiley Series in Probability and Statistics, Machine Learning : a Concise Introduction offers the practical information needed for an understanding of the methods and application of machine learning. STEVEN W. KNOX holds a Ph.D. in Mathematics from the University of Illinois and an M.S. in Statistics from Carnegie Mellon University. He has over twenty years’ experience in using Machine Learning, Statistics, and Mathematics to solve real-world problems. He currently serves as Technical Director of Mathematics Research and Senior Advocate for Data Science at the National Security Agency.

DKK 759.00
3

Machine Learning Theory and Applications - Xavier Vasques - Bog - John Wiley & Sons Inc - Booktok.dk

Machine Learning Theory and Applications - Xavier Vasques - Bog - John Wiley & Sons Inc - Booktok.dk

Machine Learning Theory and Applications Enables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python libraries Machine Learning Theory and Applications delves into the realm of machine learning and deep learning, exploring their practical applications by comprehending mathematical concepts and implementing them in real-world scenarios using Python and renowned open-source libraries. This comprehensive guide covers a wide range of topics, including data preparation, feature engineering techniques, commonly utilized machine learning algorithms like support vector machines and neural networks, as well as generative AI and foundation models. To facilitate the creation of machine learning pipelines, a dedicated open-source framework named hephAIstos has been developed exclusively for this book. Moreover, the text explores the fascinating domain of quantum machine learning and offers insights on executing machine learning applications across diverse hardware technologies such as CPUs, GPUs, and QPUs. Finally, the book explains how to deploy trained models through containerized applications using Kubernetes and OpenShift, as well as their integration through machine learning operations (MLOps). Additional topics covered in Machine Learning Theory and Applications include: Current use cases of AI, including making predictions, recognizing images and speech, performing medical diagnoses, creating intelligent supply chains, natural language processing, and much moreClassical and quantum machine learning algorithms such as quantum-enhanced Support Vector Machines (QSVMs), QSVM multiclass classification, quantum neural networks, and quantum generative adversarial networks (qGANs)Different ways to manipulate data, such as handling missing data, analyzing categorical data, or processing time-related dataFeature rescaling, extraction, and selection, and how to put your trained models to life and production through containerized applicationsMachine Learning Theory and Applications is an essential resource for data scientists, engineers, and IT specialists and architects, as well as students in computer science, mathematics, and bioinformatics. The reader is expected to understand basic Python programming and libraries such as NumPy or Pandas and basic mathematical concepts, especially linear algebra.

DKK 683.00
4

Money Machine - Weijian Shan - Bog - John Wiley & Sons Inc - Booktok.dk

Money Machine - Weijian Shan - Bog - John Wiley & Sons Inc - Booktok.dk

An extraordinary tale of an American firm’s astounding success in China In Money Machine: A Trailblazing American Venture in China, Weijian Shan delivers a compelling account of one of the most significant deals in private equity history: the first and only foreign acquisition of control of a Chinese national bank. Money Machine is the fascinating inside story of the transaction as told by the man who led it, from the intrigues of dealmaking to the complex and uncharted process of securing control by a foreign investor of a Chinese nationwide financial institution, a feat that had never before been attempted, nor has it been repeated. Shan also describes the astonishingly successful turnaround of the institution under the control of the American firm: the clash of cultures, the growth to strength and profitability, and ultimately, the extraordinarily profitable exit from the investment. In the process, he reveals new insights into how finance operates in China’s capital system and how private equity firms can add real value to companies. Readers will also find: A peek behind the curtain of a process usually shrouded in secrecy: private equity dealmaking and moneymakingThe complex negotiations between American private equity executives and Chinese regulators to implement a series of unprecedented changesThe riveting details of the challenges that had to be overcome to return the bank to growth and profitabilityAn exceptional firsthand account of truly singular deal-making and money-making, Money Machine will be of interest to investment bankers, investors, financial analysts and anyone who appreciates a suspenseful, true-life story.

DKK 261.00
4

Machine Learning For Dummies - John Paul Mueller - Bog - John Wiley & Sons Inc - Booktok.dk

Machine Learning For Dummies - John Paul Mueller - Bog - John Wiley & Sons Inc - Booktok.dk

One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learningWork with Python 3.8 and TensorFlow 2.x (and R as a download)Build and test your own modelsUse the latest datasets, rather than the worn out data found in other booksApply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.

DKK 202.00
4

Machine Design with CAD and Optimization - Sayed M. Metwalli - Bog - John Wiley & Sons Inc - Plusbog.dk

Machine Design with CAD and Optimization - Sayed M. Metwalli - Bog - John Wiley & Sons Inc - Plusbog.dk

MACHINE DESIGN WITH CAD AND OPTIMIZATION A guide to the new CAD and optimization tools and skills to generate real design synthesis of machine elements and systemsMachine Design with CAD and Optimization offers the basic tools to design or synthesize machine elements and assembly of prospective elements in systems or products. It contains the necessary knowledge base, computer aided design, and optimization tools to define appropriate geometry and material selection of machine elements. A comprehensive text for each element includes: a chart, excel sheet, a MATLAB® program, or an interactive program to calculate the element geometry to guide in the selection of the appropriate material. The book contains an introduction to machine design and includes several design factors for consideration. It also offers information on the traditional rigorous design of machine elements. In addition, the author reviews the real design synthesis approach and offers material about stresses and material failure due to applied loading during intended performance. This comprehensive resource also contains an introduction to computer aided design and optimization. This important book:Provides the tools to perform a new direct design synthesis rather than design by a process of repeated analysisContains a guide to knowledge-based design using CAD tools, software, and optimum component design for the new direct design synthesis of machine elementsAllows for the initial suitable design synthesis in a very short timeDelivers information on the utility of CAD and OptimizationAccompanied by an online companion site including presentation filesWritten for students of engineering design, mechanical engineering, and automotive design. Machine Design with CAD and Optimization contains the new CAD and Optimization tools and defines the skills needed to generate real design synthesis of machine elements and systems on solid ground for better products and systems.

DKK 987.00
4

Python Machine Learning - Wei Meng Lee - Bog - John Wiley & Sons Inc - Plusbog.dk

Python Machine Learning - Wei Meng Lee - Bog - John Wiley & Sons Inc - Plusbog.dk

Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. However, machine learning is not for the faint of heart—it requires a good foundation in statistics, as well as programming knowledge. Python Machine Learning will help coders of all levels master one of the most in-demand programming skillsets in use today. Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science. For each learning algorithm, readers will use a real-life scenario to show how Python is used to solve the problem at hand. • Python data science—manipulating data and data visualization • Data cleansing • Understanding Machine learning algorithms • Supervised learning algorithms • Unsupervised learning algorithms • Deploying machine learning models Python Machine Learning is essential reading for students, developers, or anyone with a keen interest in taking their coding skills to the next level.

DKK 266.00
1

Machine Learning in Chemical Safety and Health - Fundamentals with Applications - Bog af Q Wang - Hardback

Machine Learning in Chemical Safety and Health - Fundamentals with Applications - Bog af Q Wang - Hardback

Introduces Machine Learning Techniques and Tools and Provides Guidance on How to Implement Machine Learning Into Chemical Safety and Health-related Model DevelopmentThere is a growing interest in the application of machine learning algorithms in chemical safety and health-related model development, with applications in areas including property and toxicity prediction, consequence prediction, and fault detection. This book is the first to review the current status of machine learning implementation..

DKK 1527.95
2

Machine Learning Algorithms for Signal and Image Processing - Bog af SL Tripathi - Hardback

Machine Learning Algorithms for Signal and Image Processing - Bog af SL Tripathi - Hardback

Machine Learning Algorithms for Signal and Image ProcessingEnables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processingMachine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing,..

DKK 1433.95
2

Official Google Cloud Certified Professional Machine Learning Engineer Study Guide - Pratap Ramamurthy - Bog - John Wiley & Sons Inc - Booktok.dk

Official Google Cloud Certified Professional Machine Learning Engineer Study Guide - Pratap Ramamurthy - Bog - John Wiley & Sons Inc - Booktok.dk

Expert, guidance for the Google Cloud Machine Learning certification exam In Google Cloud Certified Professional Machine Learning Study Guide, a team of accomplished artificial intelligence (AI) and machine learning (ML) specialists delivers an expert roadmap to AI and ML on the Google Cloud Platform based on new exam curriculum. With Sybex, you’ll prepare faster and smarter for the Google Cloud Certified Professional Machine Learning Engineer exam and get ready to hit the ground running on your first day at your new job as an ML engineer. The book walks readers through the machine learning process from start to finish, starting with data, feature engineering, model training, and deployment on Google Cloud. It also discusses best practices on when to pick a custom model vs AutoML or pretrained models with Vertex AI platform. All technologies such as Tensorflow, Kubeflow, and Vertex AI are presented by way of real-world scenarios to help you apply the theory to practical examples and show you how IT professionals design, build, and operate secure ML cloud environments. The book also shows you how to: Frame ML problems and architect ML solutions from scratchBanish test anxiety by verifying and checking your progress with built-in self-assessments and other practical toolsUse the Sybex online practice environment, complete with practice questions and explanations, a glossary, objective maps, and flash cardsA can’t-miss resource for everyone preparing for the Google Cloud Certified Professional Machine Learning certification exam, or for a new career in ML powered by the Google Cloud Platform, this Sybex Study Guide has everything you need to take the next step in your career.

DKK 488.00
4