Python data mining and machine learning in action

Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances

Using a unique multimedia format for learning the fundamentals of data structures and algorithms, this conceptually elegant and innovative text incorporates the object-oriented design paradigm with Ja

This second volume represents a synthesis of issues in three historically distinct areas of learning research: computational learning theory, neural network research, and symbolic machine learning. It

Federated Learning for the Metaverse: Applications in Virtual Environments provides readers with insights into how federated learning, a decentralized machine learning paradigm, can be strategically applied to address critical aspects of the metaverse. The book covers a wide range of topics, including privacy-preserving personalization, security, collaboration, adaptive learning environments, real-time communication, decentralized governance, language understanding, immersive learning experiences, avatar customization, and dynamic scene rendering.

A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios Key Features: Augment your basic computing skills with an in-depth introduction to JuliaFocus on topic-based approaches to scientific problems and visualisationBuild on prior knowledge of programming languages such as Python, R, or C/C++Purchase of the print or Kindle book includes a free PDF eBook Book Description: Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you'll quickly get to grips with the core concept

Packed with hands-on applications, Babbie's THE PRACTICE OF SOCIAL RESEARCH, 15th Edition, equips your students with the tools they need to practically apply research concepts as both researchers and consumers. Known as the "gold standard" for research methods, the text delivers a comprehensive, straightforward introduction to the field of research as practiced by social scientists. Dr. Babbie emphasizes the research process by showing students how to design and construct projects, introducing the various observation modes in use today. The new edition includes "What do you think?" puzzles that immediately draw students into chapter concepts. General Social Survey data is updated throughout while new coverage includes the global use of social research, the emerging role of big data, demographic analysis and more. Also available: MindTap digital learning solution.

Take a deep dive into deep learning Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the in

The proceedings of DOSFIAC 2017 consist of papers on topics such as artificial intelligence, machine learning, big data, cloud computing, IOT, smart reservoir, visualization, GIS and SCADA systems. Th

Combining video analysis with the well-known Gradual Release of Responsibility (GRR) process, this book offers teacher educators a fresh perspective and a new tool for supporting teachers’ learning an

The second edition of this book covers new topics that satisfy a growing need in the GIS, professional surveyor, machine control, and Big Data communities while continuing to embrace the earth center

Putting Knowledge to Work, explores the shifting power dynamics in research collaboration between donors in the Global North and recipients in the Global South; the difficult, yet mutually desired, re

If you wish to deploy Informatica in enterprise environments and make a career in data warehousing, then this book is for you. Whether you are a developer who's new to Informatica or an experienced pr

This book is about how teachers can use classroom mathematics tasks to support student learning, and presents data on the ways in which teachers used those tasks in a particular research project. It i

This bookisan outgrowthoften yearsof researchatthe Universityof Florida Computational NeuroEngineering Laboratory (CNEL) in the general area of statistical signal processing and machine learning. One

Visual observation of patients is crucial in the diagnosis of movement disorders. Such observation can be subject to many pitfalls. The powerful lessons in this case-based book will help the reader appreciate diagnoses missed or wrongly attributed, movements difficult to characterize, tests inappropriately ordered or interpreted, and treatments incorrectly chosen or dosed. The wisdom of hindsight thus generated becomes an invaluable and enduring lesson. Organized in nine chapters according to the categories of errors and oversights, each case conveys a specific set of clinical pearls on diagnostic or therapeutic issues. The text is written in a coaching style, buttressed by the strong pedagogic wisdom of the authors. The 'hard questions' after each case are meant to steer the discussion straight into the pitfalls - and how they could have been avoided. Video segments on the accompanying CD-ROM are important complementary data, critical to a field so intimately dependent on phenomenolog

The subject of data-driven modeling has been addressed in various disciplines such as statistics, pattern recognition, signal processing, genomics, artificial neural networks, machine learning, and d

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

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

The Politics of Ethics examines the obstacles to behaving ethically in organizations. Blending insights from behavioral science, action theory, and moral philosophy, Nielsen constructs a powerful fram

Implement real-time data processing applications on the Raspberry Pi. This book uniquely helps you work with data science concepts as part of real-time applications using the Raspberry Pi as a localized cloud. You'll start with a brief introduction to data science followed by a dedicated look at the fundamental concepts of Python programming. Here you'll install the software needed for Python programming on the Pi, and then review the various data types and modules available. The next steps are to set up your Pis for gathering real-time data and incorporate the basic operations of data science related to real-time applications. You'll then combine all these new skills to work with machine learning concepts that will enable your Raspberry Pi to learn from the data it gathers. Case studies round out the book to give you an idea of the range of domains where these concepts can be applied. By the end of Data Science with the Raspberry Pi, you'll understand that many applications are now de

The award-winning author of The Music of the Primes explores the future of creativity and how machine learning will disrupt, enrich, and transform our understanding of what it means to be human.Can a well-programmed machine do anything a human can—only better? Complex algorithms are buying our groceries, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we’ve taken solace in the notion that they can’t create. But now that algorithms can learn and adapt, does the future of creativity belong to machines too?It is hard to imagine a better guide to the bewildering world of artificial intelligence than Marcus du Sautoy, a celebrated Oxford mathematician whose work on symmetry in the ninth dimension has taken him to the vertiginous edge of mathematical understanding. In The Creativity Code he considers what machine learning means for the future of creativity. Programs like Deep Dream produce d

It is critical for students to have a complete understanding of how to collect and analyze social science data to understand the nature of crime and theories of crime causation. This updated Fifth Edi

This book introduces 10 mega business trends, ranging from big data to the O2O model. By mining and analyzing mountains of data, the author identifies these 10 emerging trends and goes to great length

Learn how today’s businesses can transform themselves by leveraging real-time data and advanced machine learning analytics. This book provides prescriptive guidance for architects and develo

The field of education is rife with calls to action and for research to improve higher-level thinking and learning outcomes in primary, secondary, and tertiary education. With the No Child Left Behind

Movement ecology is a deeply interdisciplinary and prolific area of research, requiring skills that combine information technology, data mining, statistics and mathematics, geography, remote sensing,

This book presents introductions to DKD and PKD, extensive reviews of the field, and state-of-the-art techniques. Foreword by Vipin Kumar Knowledge discovery and data mining (KDD) deals with the pro

DescriptionTrailblazer cultivates critical thinkers, readers, and writers and provides the language support they need to be ready to study subject-matter content in English. Trailblazing students take meaningful action beyond the classroom by developing the ability to shape their own answers to life’s big questions, and to view these questions through multiple perspectives.A multiple literacy approach helps prepare students for meaningful real-world interaction.Authentic non-fiction, globally diverse fiction, and information presented through multi-media inputs prompt students to think critically and apply their language and skills to real-world contexts.The real-life stories of National Geographic Explorers inspire a new generation of trailblazing students to make a positive impact on their community.Assessment of English language skills and strategies helps instructors to track learning outcomes, and students to meet their learning goals, including success on international exams.Inte

DescriptionTrailblazer cultivates critical thinkers, readers, and writers and provides the language support they need to be ready to study subject-matter content in English. Trailblazing students take meaningful action beyond the classroom by developing the ability to shape their own answers to life’s big questions, and to view these questions through multiple perspectives.A multiple literacy approach helps prepare students for meaningful real-world interaction.Authentic non-fiction, globally diverse fiction, and information presented through multi-media inputs prompt students to think critically and apply their language and skills to real-world contexts.The real-life stories of National Geographic Explorers inspire a new generation of trailblazing students to make a positive impact on their community.Assessment of English language skills and strategies helps instructors to track learning outcomes, and students to meet their learning goals, including success on international exams.Inte

DescriptionTrailblazer cultivates critical thinkers, readers, and writers and provides the language support they need to be ready to study subject-matter content in English. Trailblazing students take meaningful action beyond the classroom by developing the ability to shape their own answers to life’s big questions, and to view these questions through multiple perspectives.A multiple literacy approach helps prepare students for meaningful real-world interaction.Authentic non-fiction, globally diverse fiction, and information presented through multi-media inputs prompt students to think critically and apply their language and skills to real-world contexts.The real-life stories of National Geographic Explorers inspire a new generation of trailblazing students to make a positive impact on their community.Assessment of English language skills and strategies helps instructors to track learning outcomes, and students to meet their learning goals, including success on international exams.Inte

DescriptionTrailblazer cultivates critical thinkers, readers, and writers and provides the language support they need to be ready to study subject-matter content in English. Trailblazing students take meaningful action beyond the classroom by developing the ability to shape their own answers to life’s big questions, and to view these questions through multiple perspectives.A multiple literacy approach helps prepare students for meaningful real-world interaction.Authentic non-fiction, globally diverse fiction, and information presented through multi-media inputs prompt students to think critically and apply their language and skills to real-world contexts.The real-life stories of National Geographic Explorers inspire a new generation of trailblazing students to make a positive impact on their community.Assessment of English language skills and strategies helps instructors to track learning outcomes, and students to meet their learning goals, including success on international exams.Inte

Timely and reliable information on natural resources, regarding their potential and limitations, is a prerequisite for sustainable development. Geospatial technologies offer immense potential in providing such information in a timely and cost-effective manner. Using orbital sensors data in conjunction with airborne and proximal sensors to generate information on soils and agricultural resources, forests, mineral resources, fossil fuel, wetlands, water resources, and marine resources, this book focuses on the advancements in technologies applicable to managing these resources. It addresses global issues like climate change and land degradation neutrality and introduces Spatial Data Infrastructure (SDI) as a mechanism for sharing geospatial data. It also provides in-depth discussion on drones, crowdsourcing, cloud computing, Internet of Things, machine learning, and their applications.Features Provides a comprehensive resource on the latest developments in geospatial technologies and the

本套盒書包含12本小書，專為初學讀者設計，每個故事都聚焦於字母發音，幫助孩子建立自信並打下閱讀的基礎。深受喜愛的寶可夢角色：故事中包含皮卡丘、波加曼、小鋸鱷、喵喵等人氣角色，讓孩子保持興趣並樂在其中。方便攜帶：附帶提手的收納盒，便於存放，也讓孩子能隨時隨地展開閱讀冒險。這是學習與樂趣的完美結合，對任何喜愛寶可夢的孩子來說都是理想的選擇！Learn to read with help from your favourite Pokemon! If your beginning reader loves Pokemon, then you gotta catch this phonics reading programme! These 12 simple, fun Pokemon stories are specially designed to help kids learning their letter sounds. Learn to read with help from your favourite Pokemon! 12 easy-to-read books designed for kids learning their letter sounds. The fun, action-packed stories in each book feature beloved Pokemon like Pikachu, Piplup, Totodile, Meowth and many more.The books come in a box with a carry-handle for easy storage.

World War II played an important role in the trajectory of race and American political development, but the War's effects were much more complex than many assume. Steven White offers an extensive analysis of rarely utilized survey data and archival evidence to assess white racial attitudes and the executive branch response to civil rights advocacy. He finds that, contrary to conventional wisdom, the white mass public's racial policy attitudes largely did not liberalize during the war against Nazi Germany. In this context, advocates turned their attention to the possibility of unilateral action by the president, emphasizing a wartime civil rights agenda focused on discrimination in the defense industry and segregation in the military. This book offers a reinterpretation of this critical period in American political development, as well as implications for the theoretical relationship between war and the inclusion of marginalized groups in democratic societies.

This book provides a comprehensive foundation of machine learning. To answer the questions of what to learn, how to learn, what to get from learning, and how to evaluate, as well as what is meant by learning, the book focuses on the fundamental basics of machine learning, its methodology, theory, algorithms, and evaluations, together with some philosophical thinking on comparison between machine learning and human learning for machinery intelligence.The book is organized as follows: Introduction (Chapter 1), Evaluation (Chapter 2), Supervised learning (Chapters 3, 4, and 5), Unsupervised learning (Chapter 6), Representation learning (Chapter 7), Problem decomposition (Chapter 8), Ensemble learning (Chapter 9), Deep learning (Chapter 10), Application (Chapter 11), and Challenges (Chapter 12).The book can be used as a textbook for college, undergraduate, graduate and PhD students majored in computer science, automation, electronic engineering, communication, ect. It can also be used as