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Machine Learning Applications In Software Engineering

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Artificial Communication
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出版日:2022/04/05 作者:Elena Esposito  出版社:Mit Pr  裝訂:精裝
A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication. Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but as artificial communication. To do this, we need a concept of communication that can take into account the possibility that a communication partner may not be a human being but an algor
優惠:外文書周末優惠-單79雙75 優惠價: 79 839
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Machine Learning, revised and updated edition
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出版日:2021/08/17 作者:Ethem Alpaydin  出版社:Mit Pr  裝訂:平裝
A concise overview of machine learning--computer programs that learn from data--the basis of such applications as voice recognition and driverless cars.Today, machine learning underlies a range of app
優惠:外文書周末優惠-單79雙75 優惠價: 79 479
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Introduction to Machine Learning
79 折
出版日:2014/08/22 作者:Ethem Alpaydin  出版社:Mit Pr  裝訂:精裝
The goal of machine learning is to program computers to use example data or pastexperience to solve a given problem. Many successful applications of machine learning exist already,including systems th
Introduction to Machine Learning
79 折
出版日:2009/12/04 作者:Ethem Alpaydin  出版社:Mit Pr  裝訂:精裝
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems
Introduction To Machine Learning
79 折
出版日:2004/10/15 作者:Ethem Alpaydin  出版社:Mit Pr  裝訂:精裝
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems
Machine Learning
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出版日:2016/10/07 作者:Ethem Alpaydin  出版社:Mit Pr  裝訂:平裝
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 everyday
優惠:外文書周末優惠-單79雙75 優惠價: 79 479
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Probabilistic Machine Learning
79 折
出版日:2022/02/01 作者:Kevin P. Murphy  出版社:Mit Pr  裝訂:精裝
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory.This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the ne
優惠:外文書周末優惠-單79雙75 優惠價: 79 5925
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Fundamentals of Machine Learning for Predictive Data Analytics ─ Algorithms, Worked Examples, and Case Studies
79 折
出版日:2015/07/24 作者:John D. Kelleher; Brian MAC Namee; Aoife D'arcy  出版社:Mit Pr  裝訂:精裝
Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk a
優惠:外文書周末優惠-單79雙75 優惠價: 79 2402
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Optimization for Machine Learning
79 折
出版日:2011/09/30 作者:Suvrit Sra; Sebastian Nowozin; Stephen J. Wright; Suvrit Sra  出版社:Mit Pr  裝訂:平裝
An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning
Machine Learning from Weak Supervision
79 折
出版日:2022/08/23 作者:Masashi Sugiyama  出版社:Mit Pr  裝訂:精裝
Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. This book presents theory and algorithms for weakly supervised learning, a paradigm of machine learning from weakly labeled data. Emphasizing an approach based on empirical risk minimization and drawing on state-of-the-art research in weakly supervised learning, the book provides both the fundamentals of the field and the advanced mathematical theories underlying them. It can be used as a reference for practitioners and researchers and in the classroom.The book first mathematically formulates classification problems, defines common notations, and reviews various algorithms for supervised binary and multiclass classif
優惠:外文書周末優惠-單79雙75 優惠價: 79 1952
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Foundations of Machine Learning
79 折
出版日:2018/12/25 作者:Mehryar Mohri; Afshin Rostamizadeh; Ameet Talwalkar; Francis Bach  出版社:Mit Pr  裝訂:精裝
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook f
優惠:外文書周末優惠-單79雙75 優惠價: 79 4029
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Software Engineering for Internet Applications
79 折
出版日:2006/02/24 作者:Eve Astrid Andersson; Philip Greenspun; Andrew Grumet  出版社:Mit Pr  裝訂:平裝
After completing this self-contained course on server-based Internet applications software, students who start with only the knowledge of how to write and debug a computer program will have learned h
Gaussian Processes for Machine Learning
79 折
出版日:2005/11/23 作者:Carl Edward Rasmussen; Christopher K. I. Williams  出版社:Mit Pr  裝訂:精裝
Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past d
優惠:外文書周末優惠-單79雙75 優惠價: 79 1501
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Optimization for Machine Learning
79 折
出版日:2011/09/30 作者:Suvrit Sra; Sebastian Nowozin; Stephen J. Wright  出版社:Mit Pr  裝訂:精裝
The interplay between optimization and machine learning is one of the most importantdevelopments in modern computational science. Optimization formulations and methods are proving tobe vital in design
Semi-Supervised Learning
79 折
出版日:2010/01/22 作者:Olivier Chapelle; Bernhard Scholkopf; Alexander Zien  出版社:Mit Pr  裝訂:平裝
In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in whi
Semi-supervised Learning
79 折
出版日:2006/09/22 作者:Olivier Chapelle; Bernhard Scholkopf; Alexander Zien  出版社:Mit Pr  裝訂:精裝
In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in whi
Introduction to Online Convex Optimization, second edition
79 折
出版日:2022/10/11 作者:Elad Hazan  出版社:Mit Pr  裝訂:精裝
New edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views optimization as a process.In many practical applications, the environment is so complex that it is not feasible to lay out a comprehensive theoretical model and use classical algorithmic theory and/or mathematical optimization. Introduction to Online Convex Optimization presents a robust machine learning approach that contains elements of mathematical optimization, game theory, and learning theory: an optimization method that learns from experience as more aspects of the problem are observed. This view of optimization as a process has led to some spectacular successes in modeling and systems that have become part of our daily lives. Based on the “Theoretical Machine Learning” course taught by the author at Princeton University, the second edition of this widely used graduate level text features:Thoroughly updated material throughoutNew chapters on boosting, ad
優惠:外文書周末優惠-單79雙75 優惠價: 79 1802
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AI Assistants
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出版日:2021/09/07 作者:Roberto Pieraccini  出版社:Mit Pr  裝訂:平裝
An accessible explanation of the technologies that enable such popular voice-interactive applications as Alexa, Siri, and Google Assistant.Have you talked to a machine lately? Asked Alexa to play a song, asked Siri to call a friend, asked Google Assistant to make a shopping list? This volume in the MIT Press Essential Knowledge series offers a nontechnical and accessible explanation of the technologies that enable these popular devices. Roberto Pieraccini, drawing on more than thirty years of experience at companies including Bell Labs, IBM, and Google, describes the developments in such fields as artificial intelligence, machine learning, speech recognition, and natural language understanding that allow us to outsource tasks to our ubiquitous virtual assistants. Pieraccini describes the software components that enable spoken communication between humans and computers, and explains why it's so difficult to build machines that understand humans. He explains speech recognition technology
優惠:外文書周末優惠-單79雙75 優惠價: 79 479
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Fndls Of Machine Lrng Fo
79 折
出版日:2020/10/20 作者:John D. Kelleher  出版社:Mit Pr  裝訂:精裝
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictiv
優惠:外文書周末優惠-單79雙75 優惠價: 79 2402
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Machine Learners ― Archaeology of a Data Practice
79 折
出版日:2017/12/08 作者:Adrian Mackenzie  出版社:Mit Pr  裝訂:平裝
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 d
Machine Learning ─ A Probabilistic Perspective
79 折
出版日:2012/08/24 作者:Kevin P. Murphy  出版社:Mit Pr  裝訂:精裝
Today's Web-enabled deluge of electronic data calls for automated methods of dataanalysis. Machine learning provides these, developing methods that can automatically detect patternsin data and then us
優惠:外文書周末優惠-單79雙75 優惠價: 79 5214
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Machine Learning in Non-Stationary Environments ─ Introduction to Covariate Shift Adaptation
79 折
出版日:2012/03/30 作者:Masashi Sugiyama; Motoaki Kawanabe  出版社:Mit Pr  裝訂:精裝
As the power of computing has grown over the past few decades, the field of machinelearning has advanced rapidly in both theory and practice. Machine learning methods are usuallybased on the assumptio
Machine Learning
79 折
出版日:1990/02/23 作者:Jaime Carbonell  出版社:Mit Pr  裝訂:平裝
Having played a central role at the inception of artificial intelligence research, machine learning has recently reemerged as a major area of study at the very core of the subject. Solid theoretical f
Philosophy for Passengers
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出版日:2022/05/03 作者:Michael Marder  出版社:Mit Pr  裝訂:平裝
A philosophical guide to passengerhood, with reflections on time, space, existence, boredom, our sense of self, and our sense of the senses.While there are entire bookstore sections―and even entire bookstores―devoted to travel, there have been few books on the universal experience of being a passenger. With this book, philosopher Michael Marder fills the gap, offering a philosophical guide to passengerhood. He takes readers from ticketing and preboarding (preface and introduction) through a series of stops and detours (reflections on topics including time, space, existence, boredom, our sense of self, and our sense of the senses) to destination and disembarking (conclusion). Marder finds that the experience of passengers in the twenty-first century is experience itself, stretching well beyond railroad tracks and airplane flight patterns. On his journey through passengerhood, he considers, among many other things, passenger togetherness, which goes hand in hand with passenger lonelin
優惠:外文書周末優惠-單79雙75 優惠價: 79 479
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Topology of Violence
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出版日:2018/04/20 作者:Byung-Chul Han; Amanda Demarco  出版社:Mit Pr  裝訂:平裝
One of today's most widely read philosophers considers the shift in violence from visible to invisible, from negativity to excess of positivity.Some things never disappear -- violence, for example. Vi
優惠:外文書周末優惠-單79雙75 優惠價: 79 599
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Once Upon an Algorithm
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出版日:2017/08/11 作者:Martin Erwig  出版社:Mit Pr  裝訂:精裝
Picture a computer scientist, staring at a screen and clicking away frantically on a keyboard, hacking into a system, or perhaps developing an app. Now delete that picture. In Once Upon an Algorithm,
優惠:外文書周末優惠-單79雙75 優惠價: 79 900
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Elements of Causal Inference ─ Foundations and Learning Algorithms
79 折
出版日:2017/11/29 作者:Jonas Peters; Dominik Janzing; Bernhard Sch?女opf  出版社:Mit Pr  裝訂:精裝
The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduct
優惠:外文書周末優惠-單79雙75 優惠價: 79 2133
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Security Requirements Engineering ― Designing Secure Socio-technical Systems
79 折
出版日:2016/01/22 作者:Fabiano Dalpiaz; Elda Paja; Paolo Giorgini  出版社:Mit Pr  裝訂:精裝
Security requirements engineering is especially challenging because designers must consider not just the software under design but also interactions among people, organizations, hardware, and software
Metamodeling For Method Engineering
79 折
出版日:2009/07/10 作者:Manfred A. Jeusfeld; Matthias Jarke; John Mylopoulos  出版社:Mit Pr  裝訂:精裝
This text is a guide to the foundations of method engineering, a developing field concerned with the definition of techniques for designing software systems. The approach is based on metamodeling, th
Predicting Structured Data
79 折
出版日:2007/07/27 作者:Gokhan Bakir; Thomas Hofmann; Alexander J. Smola; Ben Taskar; S. V. N. Vishwanathan  出版社:Mit Pr  裝訂:精裝
Machine learning develops intelligent computer systems that are able to generalizefrom previously seen examples. A new domain of machine learning, in which the prediction mustsatisfy the additional co
Predicting Structured Data
79 折
出版日:2007/07/27 作者:Gokhan Bakir  出版社:Mit Pr  裝訂:平裝
State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure. Machine learning develops intelligent computer systems that are able to genera
Learning Kernel Classifiers ─ Theory and Algorithms
79 折
出版日:2001/12/07 作者:Ralf Herbrich  出版社:Mit Pr  裝訂:精裝
Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier—a limited, but well-established and comp
優惠:外文書周末優惠-單79雙75 優惠價: 79 2370
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Introduction to Statistical Relational Learning
79 折
出版日:2019/09/22 作者:Lise Getoor ; Ben Taskar ; Daphne Koller; Nir Friedman; Lise Getoor  出版社:Mit Pr  裝訂:平裝
Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different
Deep Learning
滿額折
出版日:2019/09/10 作者:John D. Kelleher  出版社:Mit Pr  裝訂:平裝
An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.Deep learning is an artificial intellige
優惠:外文書周末優惠-單79雙75 優惠價: 79 569
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Machine Learners ─ Archaeology of a Data Practice
79 折
出版日:2017/11/16 作者:Adrian Mackenzie  出版社:Mit Pr  裝訂:精裝
Machine learning -- programming computers to learn from data -- has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transactio
優惠:外文書周末優惠-單79雙75 優惠價: 79 1201
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Perturbations, Optimization, and Statistics
79 折
出版日:2016/12/23 作者:Tamir Hazan; George Papandreou; Daniel Tarlow  出版社:Mit Pr  裝訂:精裝
In nearly all machine learning, decisions must be made given current knowledge. Surprisingly, making what is believed to be the best decision is not always the best strategy, even when learning in a s
Software Metrics
79 折
出版日:2008/11/01 作者:AlanJ Perlis  出版社:Mit Pr  裝訂:平裝
Software metrics is a new area of computer science designed to enable programmers and other practitioners to assign quantitative indexes of merit to software. In this volume, "software" is defined bro
Introduction to Statistical Relational Learning
79 折
出版日:2007/08/31 作者:Lise Getoor  出版社:Mit Pr  裝訂:精裝
Advanced statistical modeling and knowledge representation techniques for a newlyemerging area of machine learning and probabilistic reasoning; includes introductory material,tutorials for different p
The Exquisite Machine
79 折
出版日:2022/09/20 作者:Sian E. Harding  出版社:Mit Pr  裝訂:精裝
How science is opening up the mysteries of the heart, revealing the poetry in motion within the machine.Your heart is a miracle in motion, a marvel of construction unsurpassed by any human-made creation. It beats 100,000 times every day―if you were to live to 100, that would be more than 3 billion beats across your lifespan. Despite decades of effort in labs all over the world, we have not yet been able to replicate the heart’s perfect engineering. But, as Sian Harding shows us in The Exquisite Machine, new scientific developments are opening up the mysteries of the heart. And this explosion of new science―ultrafast imaging, gene editing, stem cells, artificial intelligence, and advanced sub-light microscopy―has crucial, real-world consequences for health and well-being. Harding―a world leader in cardiac research―explores the relation between the emotions and heart function, reporting that the heart not only responds to our emotions, it creates them as well. The condition known as Brok
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Essential Logic for Computer Science
79 折
出版日:2019/01/08 作者:Rex Page; Ruben Gamboa  出版社:Mit Pr  裝訂:精裝
An introduction to applying predicate logic to testing and verification of software and digital circuits that focuses on applications rather than theory.Computer scientists use logic for testing and v
優惠:外文書周末優惠-單79雙75 優惠價: 79 1501
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