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Extension Education and the Social Sciences

Leading and emerging scholars discuss how the US Cooperative Extension System addresses issues and opportunities relevant to children, youth, families, and communities both now and in the future. Extension must now lead the way in building sustainable partnerships across disciplines to tackle complex issues considering diminishing resources.

DKK 1011.95

1

Extension Education and the Social Sciences

Leading and emerging scholars discuss how the US Cooperative Extension System addresses issues and opportunities relevant to children, youth, families, and communities both now and in the future. Extension must now lead the way in building sustainable partnerships across disciplines to tackle complex issues considering diminishing resources.

DKK 309.95

1

Fundamentals of Machine Design: Volume 1 - Ajeet Singh

This book, the first volume of a two volume set, covers important topics such as manufacturing aspects of machine design, types of stresses, joints, shafts and keys of machine design in an easy to understand manner. The chapters are rich in pedagogical features including solved examples, unsolved exercises, design problems and review questions.

DKK 927.95

1

Scaling up Machine Learning - Parallel and Distributed Approaches

In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or the speed and throughput requirements are too demanding. Researchers and practitioners will find here a variety of machine learning methods developed specifically for parallel or distributed systems, covering algorithms, platforms and applications.

DKK 511.95

1

Scaling up Machine Learning - Parallel and Distributed Approaches

In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or the speed and throughput requirements are too demanding. Researchers and practitioners will find here a variety of machine learning methods developed specifically for parallel or distributed systems, covering algorithms, platforms and applications.

DKK 1086.95

1

A Hands-On Introduction to Machine Learning - Chirag Shah

A self-contained and practical introduction that assumes no prior knowledge of programming or machine learning.

DKK 645.95

1

Neural Machine Translation - Philipp (The Johns Hopkins University) Koehn

Deep learning is revolutionizing how machine translation systems are built today. This introduction to machine translation starts from the basics of neural network methods and reaches the state of the art, while giving illuminating historical, linguistic, and applied context. Code examples in Python give a hands-on blueprint for implementation.

DKK 707.95

1

Machine Vision - Wesley E. (North Carolina State University) Snyder

This 2004 book is an introduction to machine vision. It provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine vision systems. A key feature is the inclusion of programming exercises that give insights into the development of practical image processing algorithms.

DKK 621.95

1

Algorithmic Aspects of Machine Learning - Ankur (Massachusetts Institute of Technology) Moitra

Machine learning is reshaping our everyday life. This book explores the theoretical underpinnings in an accessible way, offering theoretical computer scientists an introduction to important models and problems and offering machine learning researchers a cutting-edge algorithmic toolkit.

DKK 817.95

1

Algorithmic Aspects of Machine Learning - Ankur (Massachusetts Institute of Technology) Moitra

Machine learning is reshaping our everyday life. This book explores the theoretical underpinnings in an accessible way, offering theoretical computer scientists an introduction to important models and problems and offering machine learning researchers a cutting-edge algorithmic toolkit.

DKK 385.95

1

Machine Learning Fundamentals - A Concise Introduction - Hui (York University Jiang

This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers with some mathematical preparation but no prior exposure to machine learning. Coverage includes widely used traditional methods plus recently popular deep learning methods.

DKK 581.95

1

Machine Learning Fundamentals - A Concise Introduction - Hui (York University Jiang

This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers with some mathematical preparation but no prior exposure to machine learning. Coverage includes widely used traditional methods plus recently popular deep learning methods.

DKK 976.95

1

Machine Learning for Experiments in the Social Sciences - Jon (Northeastern University) Green

Causal inference and machine learning are typically introduced in the social sciences separately as theoretically distinct methodological traditions. This Element provides theoretical and practical introductions to machine learning for social scientists interested in applying such methods to experimental data.

DKK 193.95

1

Body and Machine in Classical Antiquity

Explores the ways in which the human body and the world of machines and technological artefacts intersected in the ancient world. Traces the origins of the body-machine interface from Homer's automata down to the figural assimilation between body parts and products of human craft in Greek and Roman medicine.

DKK 1037.95

1

Mathematical Analysis of Machine Learning Algorithms - Tong (Hong Kong University of Science and Technology) Zhang

This self-contained textbook introduces students and researchers of AI to the key mathematical concepts and techniques necessary to learn and analyze machine learning algorithms. Readers will gain the technical knowledge needed to understand research papers in theoretical machine learning, without much difficulty.

DKK 548.95

1

The British Machine Tool Industry, 1850–1914 - Roderick (Provost Floud

This book is the first history of the British machine-tool industry during a time when it played a crucial part in the transformation of the British economy.

DKK 523.95

1

Understanding Machine Learning - From Theory to Algorithms - Shai (Hebrew University of Jerusalem) Shalev-Shwartz

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the 'hows' and 'whys' of machine-learning algorithms, making the field accessible to both students and practitioners.

DKK 621.95

1

Machine Learning and Data Sciences for Financial Markets - Charles-Albert Lehalle

\Leveraging the research efforts of more than 60 experts in the area, this book reviews cutting-edge practices in machine learning for financial markets. Instead of seeing machine learning as a new field, the authors explore the connection between knowledge developed in quantitative finance over the past 40 years and modern techniques generated by the current revolution in data sciences and artificial intelligence. The text is structured around three main areas: \Interacting with investors and..

DKK 1221.95

1

Mathematics for Machine Learning - Marc Peter (University College London) Deisenroth

This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.

DKK 462.95

1

Mathematics for Machine Learning - Marc Peter (University College London) Deisenroth

This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.

DKK 951.95

1

Personalized Machine Learning - Julian (University of California McAuley

For practitioners and students with basic understanding of machine learning or data science, this book explains how to build models or predictive systems involving user data. Examples range from the algorithms behind recommendations on Amazon or Netflix to more complex scenarios such as personalized fashion, online dating, or personalized health.

DKK 486.95

1

Statistical Machine Translation - Philipp (University of Edinburgh) Koehn

Automatic language translation systems like those used by Google, have been revolutionized by recent advances in the methods used in statistical machine translation. This first textbook on the topic explains these innovations carefully and shows the reader, whether a student or a developer, how to build their own translation system.

DKK 768.95

1

Machine Learning for Engineers - Osvaldo (King's College London) Simeone

Designed with engineers in mind, this self-contained book will equip students with everything they need to apply machine learning principles to real-world engineering problems. With reproducible examples using Matlab, and lecture slides and solutions for instructors, this is the ideal introduction for engineering students of all disciplines.

DKK 670.95

1

Natural Language Processing - A Machine Learning Perspective - Yue Zhang

With a machine learning approach and less focus on linguistic details, this natural language processing textbook introduces the fundamental mathematical and deep learning models for NLP in a unified framework. An invaluable, accessible and up-to-date tool for the upper undergraduate and graduate student, with sample code available online.

DKK 670.95

1

Machine Learning Refined - Foundations, Algorithms, and Applications - Jeremy (Northwestern University Watt

An intuitive approach to machine learning detailing the key concepts needed to build products and conduct research. Featuring color illustrations, real-world examples, practical coding exercises, and an online package including sample code, data sets, lecture slides, and solutions. It is ideal for graduate courses, reference, and self-study.

DKK 827.95

1

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Extension Education and the Social Sciences

Extension Education and the Social Sciences

Fundamentals of Machine Design: Volume 1 - Ajeet Singh

Scaling up Machine Learning - Parallel and Distributed Approaches

Scaling up Machine Learning - Parallel and Distributed Approaches

A Hands-On Introduction to Machine Learning - Chirag Shah

Neural Machine Translation - Philipp (The Johns Hopkins University) Koehn

Machine Vision - Wesley E. (North Carolina State University) Snyder

Algorithmic Aspects of Machine Learning - Ankur (Massachusetts Institute of Technology) Moitra

Algorithmic Aspects of Machine Learning - Ankur (Massachusetts Institute of Technology) Moitra

Machine Learning Fundamentals - A Concise Introduction - Hui (York University Jiang

Machine Learning Fundamentals - A Concise Introduction - Hui (York University Jiang

Machine Learning for Experiments in the Social Sciences - Jon (Northeastern University) Green

Body and Machine in Classical Antiquity

Mathematical Analysis of Machine Learning Algorithms - Tong (Hong Kong University of Science and Technology) Zhang

The British Machine Tool Industry, 1850–1914 - Roderick (Provost Floud

Understanding Machine Learning - From Theory to Algorithms - Shai (Hebrew University of Jerusalem) Shalev-Shwartz

Machine Learning and Data Sciences for Financial Markets - Charles-Albert Lehalle

Mathematics for Machine Learning - Marc Peter (University College London) Deisenroth

Mathematics for Machine Learning - Marc Peter (University College London) Deisenroth

Personalized Machine Learning - Julian (University of California McAuley

Statistical Machine Translation - Philipp (University of Edinburgh) Koehn

Machine Learning for Engineers - Osvaldo (King's College London) Simeone

Natural Language Processing - A Machine Learning Perspective - Yue Zhang

Machine Learning Refined - Foundations, Algorithms, and Applications - Jeremy (Northwestern University Watt

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Digital synlighed. Målbart afkast.

Er du synlig online? Eller nyder konkurrenterne godt af dit fravær?

Mærke

Butik

Pris (EUR)

Extension Education and the Social Sciences

Extension Education and the Social Sciences

Fundamentals of Machine Design: Volume 1 - Ajeet Singh

Scaling up Machine Learning - Parallel and Distributed Approaches

Scaling up Machine Learning - Parallel and Distributed Approaches

A Hands-On Introduction to Machine Learning - Chirag Shah

Neural Machine Translation - Philipp (The Johns Hopkins University) Koehn

Machine Vision - Wesley E. (North Carolina State University) Snyder

Algorithmic Aspects of Machine Learning - Ankur (Massachusetts Institute of Technology) Moitra

Algorithmic Aspects of Machine Learning - Ankur (Massachusetts Institute of Technology) Moitra

Machine Learning Fundamentals - A Concise Introduction - Hui (York University Jiang

Machine Learning Fundamentals - A Concise Introduction - Hui (York University Jiang

Machine Learning for Experiments in the Social Sciences - Jon (Northeastern University) Green

Body and Machine in Classical Antiquity

Mathematical Analysis of Machine Learning Algorithms - Tong (Hong Kong University of Science and Technology) Zhang

The British Machine Tool Industry, 1850–1914 - Roderick (Provost Floud

Understanding Machine Learning - From Theory to Algorithms - Shai (Hebrew University of Jerusalem) Shalev-Shwartz

Machine Learning and Data Sciences for Financial Markets - Charles-Albert Lehalle

Mathematics for Machine Learning - Marc Peter (University College London) Deisenroth

Mathematics for Machine Learning - Marc Peter (University College London) Deisenroth

Personalized Machine Learning - Julian (University of California McAuley

Statistical Machine Translation - Philipp (University of Edinburgh) Koehn

Machine Learning for Engineers - Osvaldo (King's College London) Simeone

Natural Language Processing - A Machine Learning Perspective - Yue Zhang

Machine Learning Refined - Foundations, Algorithms, and Applications - Jeremy (Northwestern University Watt

Er du synlig online?
Eller nyder konkurrenterne godt af dit fravær?