9.562 resultater (0,62440 sekunder)

Vis alle filtre

Mærke

Vis alle

Butik

Pris (EUR)

Nulstil filter

Produkter
Fra
Butikker

Advanced Machine Learning - Avinash Sharma - Bog - BPB Publications - Plusbog.dk

Advanced Machine Learning - Avinash Sharma - Bog - BPB Publications - Plusbog.dk

Our book is divided into several useful concepts and techniques of machine learning. This book serves as a valuable resource for individuals seeking to deepen their understanding of advanced topics in this field. Learn about various learning algorithms, including supervised, unsupervised, and reinforcement learning, and their mathematical foundations. Discover the significance of feature engineering and selection for enhancing model performance. Understand model evaluation metrics like accuracy, precision, recall, and F1-score, along with techniques like cross-validation and grid search for model selection. Explore ensemble learning methods along with deep learning, unsupervised learning, time series analysis, and reinforcement learning techniques. Lastly, uncover real-world applications of the machine and deep learning algorithms.

DKK 382.00
1

Weighing Lives - John Broome - Bog - Oxford University Press - Plusbog.dk

Weighing Lives - John Broome - Bog - Oxford University Press - Plusbog.dk

We are often faced with choices that involve the weighing of people''s lives against each other, or the weighing of lives against other good things. These are choices both for individuals and for societies. A person who is terminally ill may have to choose between palliative care and more aggressive treatment, which will give her a longer life but at some cost in suffering. We have to choose between the convenience to ourselves of road and air travel, and the lives of the future people who will be killed by the global warming we cause, through violent weather, tropical disease, and heat waves. We also make choices that affect how many lives there will be in the future: as individuals we choose how many children to have, and societies choose tax policies that influence people''s choices about having children. These are all problems of weighing lives.How should we weigh lives? Weighing Lives develops a theoretical basis for answering this practical question. It extends the work and methods of Broome''s earlier book Weighing Goods to cover the questions of life and death.Difficult problems come up in the process. In particular, Weighing Lives tackles the well-recognized, awkward problems of the ethics of population. It carefully examines the common intuition that adding people to the population is ethically neutral - neither a good nor a bad thing - but eventually concludes this intuition cannot be fitted into a coherent theory of value. In the course of its argument, Weighing Lives examines many of the issues of contemporary moral theory: the nature of consequentialism and teleology; the transitivity, continuity, and vagueness of betterness; the quantitative conception of wellbeing; the notion of a life worth living; the badness of death; and others.This is a work of philosophy, but one of its distinctive features is that it adopts some of the precise methods of economic theory (without introducing complex mathematics). Not only philosophers, but also economists and political theorists concerned with the practical question of valuing life, should find the book''s conclusions highly significant to their work.

DKK 383.00
1

American Milling Machine Builders 1820-1920 - Kenneth L. Cope - Bog - Astragal Press - Plusbog.dk

American Milling Machine Builders 1820-1920 - Kenneth L. Cope - Bog - Astragal Press - Plusbog.dk

Continuing the pattern set by American Lathe Builders and American Planer, Shaper and Slotter Builders, this is the first book to identify American builders of milling machines and the products they invented circa 1818 to the development of the "modern" milling machine circa 1920. Early versions of other American machine tools were largely copied from European, especially British, machines. The milling machine, however, was an American development. Built first for the firearms and sewing machine industries, it proved to be much more productive than other methods, and soon held a major place in all high-production American machine shops. The book lists more than 300 makers and contains over 1,400 illustrations taken from original catalogs and contemporary periodicals. These trace the development of the milling machine from a crude, light weight machine to very large millers capable of machining parts the size of boxcars and weighing many tons. Attachments such as dividing heads, vises, etc., are also covered.

DKK 269.00
1

Beginning Machine Learning in iOS - Mohit Thakkar - Bog - APress - Plusbog.dk

Beginning Machine Learning in iOS - Mohit Thakkar - Bog - APress - Plusbog.dk

Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning and then moves on to discussing more advanced topics, such as CoreML, the framework used to enable machine learning tasks in Apple products. Many applications on iPhone use machine learning: Siri to serve voice-based requests, the Photos app for facial recognition, and Facebook to suggest which people that might be in a photo. You''ll review how these types of machine learning tasks are implemented and performed so that you can use them in your own apps. Beginning Machine Learning in iOS is your guide to putting machine learning to work in your iOS applications. What You''ll Learn - Understand the CoreML components - Train custom models - Implement GPU processing for better computation efficiency - Enable machine learning in your application Who This Book Is For Novice developers and programmers who wish to implement machine learning in their iOS applications and those who want to learn the fundamentals about machine learning.

DKK 264.00
1

Discovering Machine Knitting - Kandy Diamond - Bog - The Crowood Press Ltd - Plusbog.dk

Discovering Machine Knitting - Kandy Diamond - Bog - The Crowood Press Ltd - Plusbog.dk

The ultimate guide to machine knitting. This book has been designed to help you demystify machine knitting. Perfect for beginners, it starts with how the machine works and how stitches are formed, all the way through to shaping garment panels to your desired size and fit. Each chapter focuses on different skills that build throughout the book, with lots of projects so you can put the skills into practice and make some knits for yourself. Designer Profiles at the end of each chapter showcase the work of professional machine knitters to provide context, inspiration and celebrate the huge potential for creativity in machine knitting. From troubleshooting and looking after the machine to using more advanced techniques such as intarsia and shaping, this book will help you fall in love with your knitting machine. If you work through the step-by-step instructions and projects in this book, by the end of it you will be designing and knitting your own garments!

DKK 182.00
1

Weighing the World - Edwin Danson - Bog - Oxford University Press Inc - Plusbog.dk

Weighing the World - Edwin Danson - Bog - Oxford University Press Inc - Plusbog.dk

At the start of the 18th century there were no maps, anywhere in the world. No one knew, with any certainty, the shape of the earth or what lay beneath its surface. Was it hollow or solid? Were the Andes the highest mountains on the Earth or was it the peak of Tenerife? Was the Earth a perfect sphere or slightly squashed as Sir Isaac Newton prophesized? In Weighing the World, master-surveyor and bestselling author Edwin Danson presents the stories of the scientists and scholars who cut their way through jungles, crossed the artic tundra, and braved the world''s highest mountains to discover the truth about our Earth. Danson also recounts the extraordinary experiment, conducted on a desolate Scottish peak by Astromer Royal Neville Maskelyne, to understand the so-called "attraction of mountains," the curious capability mountians have to bend gravity, without which it would be impossible to accurately map Earth''s surface. A spell-binding scientific adventure story, Weighing the World will intrigue anyone curious about the shape of our planet and how we have come to know it.

DKK 280.00
1

Weighing Light - Geoffrey Brock - Bog - Ivan R Dee, Inc - Plusbog.dk

Weighing Light - Geoffrey Brock - Bog - Ivan R Dee, Inc - Plusbog.dk

The fifth winner of the annual New Criterion Poetry Prize is Geoffrey Brock''s Weighing Light. From the glinting scales in a painting by Vermeer to the white lines that disappear beneath a headlight''s beam, Mr. Brock''s poems measure out the often elusive weights and distances of the known world, confronting the unruly powers that threaten his burnished surfaces. His acute observations of landscape and of the smallest gestures that pass between people give rise to affecting human dramas both stark and deeply felt. Once read, his keen perceptions—all the more striking for the expertly cadenced music of his language and his supple use of poetic form—will be long remembered.

DKK 182.00
1

Machine Learning Applications - - Bog - De Gruyter - Plusbog.dk

Machine Learning Applications - - Bog - De Gruyter - Plusbog.dk

The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine learning techniques is the need of the hour. Recent literature in machine learning has emphasized on single technique of information identification. Huge scope exists in developing hybrid machine learning models with reduced computational complexity for enhanced accuracy of information identification. This book will focus on techniques to reduce feature dimension for designing light weight techniques for real time identification and decision fusion. Key Findings of the book will be the use of machine learning in daily lives and the applications of it to improve livelihood. However, it will not be able to cover the entire domain in machine learning in its limited scope. This book is going to benefit the research scholars, entrepreneurs and interdisciplinary approaches to find new ways of applications in machine learning and thus will have novel research contributions. The lightweight techniques can be well used in real time which will add value to practice.

DKK 189.00
1

Machine Learning, revised and updated edition - Ethem Alpaydin - Bog - MIT Press Ltd - Plusbog.dk

Machine Learning, revised and updated edition - Ethem Alpaydin - Bog - MIT Press Ltd - Plusbog.dk

MIT presents a concise primer on machine learning—computer programs that learn from data and the basis of applications like voice recognition and driverless cars. No in-depth knowledge of math or programming required! Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition—as well as some we don’t yet use every day, including driverless cars. It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpaydin offers a concise and accessible overview of “the new AI.” This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpaydin explains that as Big Data has grown, the theory of machine learning—the foundation of efforts to process that data into knowledge—has also advanced. He covers: • The evolution of machine learning • Important learning algorithms and example applications • Using machine learning algorithms for pattern recognition • Artificial neural networks inspired by the human brain • Algorithms that learn associations between instances • Reinforcement learning • Transparency, explainability, and fairness in machine learning • The ethical and legal implicates of data-based decision making A comprehensive introduction to machine learning, this book does not require any previous knowledge of mathematics or programming—making it accessible for everyday readers and easily adoptable for classroom syllabi.

DKK 155.00
1

MATLAB Machine Learning Recipes - Michael Paluszek - Bog - APress - Plusbog.dk

MATLAB Machine Learning Recipes - Michael Paluszek - Bog - APress - Plusbog.dk

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more. What you''ll learn: - How to write code for machine learning, adaptive control and estimation using MATLAB - How these three areas complement each other - How these three areas are needed for robust machine learning applications - How to use MATLAB graphics and visualization tools for machine learning - How to code real world examples in MATLAB for major applications of machine learning in big data Who is this book for: The primary audiences are engineers, data scientists and students wanting a comprehensive and code cookbook rich in examples on machine learning using MATLAB.

DKK 375.00
1

Machine Learning for Time Series Forecasting with Python - Francesca Lazzeri - Bog - John Wiley & Sons Inc - Plusbog.dk

Machine Learning for Time Series Forecasting with Python - Francesca Lazzeri - Bog - John Wiley & Sons Inc - Plusbog.dk

Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling. Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting. Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to: Understand time series forecasting concepts, such as stationarity, horizon, trend, and seasonality Prepare time series data for modeling Evaluate time series forecasting models’ performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts. Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.

DKK 370.00
1

Machine Learners - Adrian (professor Mackenzie - Bog - MIT Press Ltd - Plusbog.dk

Machine Learners - Adrian (professor Mackenzie - Bog - MIT Press Ltd - Plusbog.dk

If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought? Machine learning—programming computers to learn from data—has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as operational algorithms) anchor the field of data science. They have also become mundane mechanisms deeply embedded in a variety of systems and gadgets. In contexts from the everyday to the esoteric, machine learning is said to transform the nature of knowledge. In this book, Adrian Mackenzie investigates whether machine learning also transforms the practice of critical thinking. Mackenzie focuses on machine learners—either humans and machines or human-machine relations—situated among settings, data, and devices. The settings range from fMRI to Facebook; the data anything from cat images to DNA sequences; the devices include neural networks, support vector machines, and decision trees. He examines specific learning algorithms—writing code and writing about code—and develops an archaeology of operations that, following Foucault, views machine learning as a form of knowledge production and a strategy of power. Exploring layers of abstraction, data infrastructures, coding practices, diagrams, mathematical formalisms, and the social organization of machine learning, Mackenzie traces the mostly invisible architecture of one of the central zones of contemporary technological cultures. Mackenzie''s account of machine learning locates places in which a sense of agency can take root. His archaeology of the operational formation of machine learning does not unearth the footprint of a strategic monolith but reveals the local tributaries of force that feed into the generalization and plurality of the field.

DKK 335.00
1

Machine Learning Systems - Jeff Smith - Bog - Manning Publications - Plusbog.dk

Machine Learning Systems - Jeff Smith - Bog - Manning Publications - Plusbog.dk

Summary Machine Learning Systems: Designs that scale is an example-rich guide that teaches you how to implement reactive design solutions in your machine learning systems to make them as reliable as a well-built web app. Foreword by Sean Owen, Director of Data Science, Cloudera Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology If you’re building machine learning models to be used on a small scale, you don't need this book. But if you're a developer building a production-grade ML application that needs quick response times, reliability, and good user experience, this is the book for you. It collects principles and practices of machine learning systems that are dramatically easier to run and maintain, and that are reliably better for users. About the Book Machine Learning Systems: Designs that scale teaches you to design and implement production-ready ML systems. You'll learn the principles of reactive design as you build pipelines with Spark, create highly scalable services with Akka, and use powerful machine learning libraries like MLib on massive datasets. The examples use the Scala language, but the same ideas and tools work in Java, as well. What's Inside - - Working with Spark, MLlib, and Akka - - Reactive design patterns - - Monitoring and maintaining a large-scale system - - Futures, actors, and supervision - About the Reader Readers need intermediate skills in Java or Scala. No prior machine learning experience is assumed. About the Author Jeff Smith builds powerful machine learning systems. For the past decade, he has been working on building data science applications, teams, and companies as part of various teams in New York, San Francisco, and Hong Kong. He blogs (https: //medium.com/@jeffksmithjr), tweets (@jeffksmithjr), and speaks (www.jeffsmith.tech/speaking) about various aspects of building real-world machine learning systems. Table of Contents PART 1 - FUNDAMENTALS OF REACTIVE MACHINE LEARNING 1) 1) Learning reactive machine learning 1) 1) Using reactive tools 1) PART 2 - BUILDING A REACTIVE MACHINE LEARNING SYSTEM 1) 1) Collecting data 1) 1) Generating features 1) 1) Learning models 1) 1) Evaluating models 1) 1) Publishing models 1) 1) Responding 1) PART 3 - OPERATING A MACHINE LEARNING SYSTEM 1) 1) Delivering 1) 1) Evolving intelligence 1)

DKK 370.00
1

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

Introducing Machine Learning - Francesco Esposito - Bog - Pearson Education (US) - Plusbog.dk

Introducing Machine Learning - Francesco Esposito - Bog - Pearson Education (US) - Plusbog.dk

Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft’s powerful ML.NET library, including capabilities for data processing, training, and evaluation. They present families of algorithms that can be trained to solve real-life problems, as well as deep learning techniques utilizing neural networks. The authors conclude by introducing valuable runtime services available through the Azure cloud platform and consider the long-term business vision for machine learning. · 14-time Microsoft MVP Dino Esposito and Francesco Esposito help you · Explore what’s known about how humans learn and how intelligent software is built · Discover which problems machine learning can address · Understand the machine learning pipeline: the steps leading to a deliverable model · Use AutoML to automatically select the best pipeline for any problem and dataset · Master ML.NET, implement its pipeline, and apply its tasks and algorithms · Explore the mathematical foundations of machine learning · Make predictions, improve decision-making, and apply probabilistic methods · Group data via classification and clustering · Learn the fundamentals of deep learning, including neural network design · Leverage AI cloud services to build better real-world solutions faster About This Book · For professionals who want to build machine learning applications: both developers who need data science skills and data scientists who need relevant programming skills · Includes examples of machine learning coding scenarios built using the ML.NET library

DKK 281.00
1

Machine Learning with TensorFlow - Nishant Shukla - Bog - Manning Publications - Plusbog.dk

Machine Learning with TensorFlow - Nishant Shukla - Bog - Manning Publications - Plusbog.dk

DESCRIPTION Being able to make near-real-time decisions is becoming increasingly crucial. To succeed, we need machine learning systems that can turn massive amounts of data into valuable insights. But when you''re just starting out in the data science field, how do you get started creating machine learning applications? The answer is TensorFlow, a new open source machine learning library from Google. The TensorFlow library can take your high level designs and turn them into the low level mathematical operations required by machine learning algorithms. Machine Learning with TensorFlow teaches readers about machine learning algorithms and how to implement solutions with TensorFlow. It starts with an overview of machine learning concepts and moves on to the essentials needed to begin using TensorFlow. Each chapter zooms into a prominent example of machine learning. Readers can cover them all to master the basics or skip around to cater to their needs. By the end of this book, readers will be able to solve classification, clustering, regression, and prediction problems in the real world. KEY FEATURES • Lots of diagrams, code examples, and exercises • Solves real-world problems with TensorFlow • Uses well-studied neural network architectures • Presents code that can be used for the readers’ own applications AUDIENCE This book is for programmers who have some experience with Python and linear algebra concepts like vectors and matrices. No experience with machine learning is necessary. ABOUT THE TECHNOLOGY Google open-sourced their machine learning framework called TensorFlow in late 2015 under the Apache 2.0 license. Before that, it was used proprietarily by Google in its speech recognition, Search, Photos, and Gmail, among other applications. TensorFlow is one the most popular machine learning libraries.

DKK 349.00
1

The Omen Machine - Terry Goodkind - Bog - HarperCollins Publishers - Plusbog.dk

The Omen Machine - Terry Goodkind - Bog - HarperCollins Publishers - Plusbog.dk

A new Kahlan and Richard fantasy novel from bestselling author, Terry Goodkind.An accident leads to the discovery of a mysterious machine that has rested hidden deep underground for countless millennia. The machine awakens to begin issuing a series of increasingly alarming, if minor, omens. The omens turn out to be astonishingly accurate, and ever more ominous.As Zedd tries to figure out how to destroy the sinister device, the machine issues a cataclysmic omen involving Richard and Kahlan, foretelling an impending event beyond anyone’s ability to stop. As catastrophe approaches, the machine then reveals that it is within its power to withdraw the omen . . . In exchange for an impossible demand.

DKK 156.00
1

Machine Embroidered Art - Alison Holt - Bog - Search Press Ltd - Plusbog.dk

Machine Embroidered Art - Alison Holt - Bog - Search Press Ltd - Plusbog.dk

This is a must-have instructional and inspirational book for anyone interested in free-motion embroidery. Drawing on new material, as well as that previously published as The Beginner’s Guide to Machine Embroidered Flowers , The Beginner’s Guide to Machine Embroidered Landscapes, Machine Embroidered Seascapes and Machine Embroidered Woodlands , this book provides a showcase of Alison Holt’s exquisite machine embroideries. Learn how to create beautiful machine-embroidered pictures of all aspects of the landscape, from formal gardens and flowers to romantic seascapes, landscapes and woodlands using various combinations of just two simple machine stitches. Information on silk painting and colour mixing is also included. All the techniques are broken down into clear, step-by-step instructions, with numerous helpful photographs and a great range of inspirational pieces. Alison ''paints'' her threads on to hand-coloured backgrounds, blending her stitches and achieving stunning results. This book covers everything, including the materials required; how to compose a picture from photographs that have inspired you; achieving perspective; light and shade; painting backgrounds; and all the basic stitch techniques you need to know. There are stunning step-by-step projects so that the reader can put into practise his or her newly-acquired skills.

DKK 192.00
1