Natural Language Annotation for Machine Learning

Strengthen mathematical skills and gain practice using those skills in preparation for success in machine trades or manufacturing with Peterson/Smith's MATHEMATICS FOR MACHINE TECHNOLOGY, 8E. This com

Using case studies, reflection questions, and research on course design, this book addresses the world language instructor and the diverse learner. Devoted to strategies based on Universal Design for

Using case studies, reflection questions, and research on course design, this book addresses the world language instructor and the diverse learner. Devoted to strategies based on Universal Design for

Create AI applications in Python and lay the foundations for your career in data scienceKey FeaturesPractical examples that explain key machine learning algorithmsExplore neural networks in detail wit

Are you stuck in getting started with machine learning with python? A Step-By-Step Guide to Learn and Master Python Machine Learning walks you through steps for getting started with Machine Learning w

Community-based Language Learning offers a new framework for world language educators interested in integrating community-based language learning (CBLL) into their teaching and curricula. CBLL connect

3 comprehensive manuscripts in 1 bookMachine Learning: An Essential Guide to Machine Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More

This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the

Written in an extended dictionary format, The Manual for Teaching and Learning Chinese as a Foreign Language aims to cover all key terms related to teaching Chinese as a foreign language.Each section

Written in an extended dictionary format, The Manual for Teaching and Learning Chinese as a Foreign Language aims to cover all key terms related to teaching Chinese as a foreign language.Each section

Bringing together an international team of researchers, this volume explores practice in second language learning - activities which aim to develop skills in or knowledge of a second language. The book begins with two theoretical overviews of practice as applied to learning to speak in a second language and in cognitive accounts of second language acquisition. This theory underpins the volume, which is split into two main sections: receptive and productive practice. The studies look at practice in English, German and Spanish as a second language in various contexts including traditional classrooms, periods of study abroad and online language learning. The differing research designs used mean that the chapters contain clear implications for classroom pedagogy and further directions for research, teaching and learning in different contexts.

The Python programming language and its libraries, including pandas and scikit-learn, provide a production-grade environment to help you accomplish a broad range of machine-learning tasks. With this c

"This book focuses on exploring a variety of research traditions in the field of FL learning/acquisition--at home and/or abroad--including: approaches to identity, ethnographic inquiry, investigation

Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a newly emerging paradigm in the machine learning community. Various machine learning problems such as non-stationarity adaptation, outlier detection, dimensionality reduction, independent component analysis, clustering, classification and conditional density estimation can be systematically solved via the estimation of probability density ratios. The authors offer a comprehensive introduction of various density ratio estimators including methods via density estimation, moment matching, probabilistic classification, density fitting and density ratio fitting, as well as describing how these can be applied to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric conve

This book rests upon a smooth integration between image fusion and data mining for information retrieval and content-based mapping in the context of different environmental applications, and it focuse

A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.Today many information source

With a focus on what mathematics and science educators need to know about academic language used in the STEM disciplines, this book critically synthesizes the current knowledge base on language challe

With a focus on what mathematics and science educators need to know about academic language used in the STEM disciplines, this book critically synthesizes the current knowledge base on language challe

Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex p

This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer

This book focuses on the study of possible adaptive sampling mechanisms for haptic data compression aimed at applications like tele-operations and tele-surgery. Demonstrating that the selection of the

Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applic

Teaching overly-factual content to young students is misguided: it is developmentally inappropriate, and ignores what we know about how children naturally learn. We can and should view all children as

Technology-Enhanced Language Learning for Specialized Domains provides an exploration of the latest developments in technology-enhanced learning and the processing of languages for specific purposes.

A new collection of stories, including some that have never before been seen, from the New York Times best-selling author of the Silo trilogy Hugh Howey is known for crafting riveting and immersive pa

A new collection of stories, including some that have never before been seen, from the New York Times best-selling author of the Silo trilogy Hugh Howey is known for crafting riveting and immersive pa

This is a practical, accessible manual for Speech and Language Therapists, Educational Psychologists and Educators who assess children with language impairments, explaining how and why to implement Dy

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolu

This book is about foreign language learning in non-formal Online Tandems. The collected papers by contributors who have expertise in the field of Language Pedagogy and Foreign Language Acquisition ga

This book provides the first systematic study of facial kinship verification, a new research topic in biometrics. It presents three key aspects of facial kinship verification: 1) feature learning for

Let's Learn Indonesian Kit is an introductory Indonesian language learning tool especially designed to help children from preschool through early elementary level acquire basic words, phrases, and sen

Let's Learn Vietnamese Kit is an introductory Vietnamese language learning tool especially designed to help children from preschool through early elementary level acquire basic words, phrases, and sen

This research-led textbook investigates the use of new technologies for language learning, linking theory to practice. The book synthesises previous technology use (including Computer Assisted La

Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. To help fill the information gap on featur

This authoritative, expanded and updated second edition of Encyclopedia of Machine Learning and Data Mining provides easy access to core information for those seeking entry into any aspect within the

Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagno

Specialists in foreign language learning and teaching explore the intersection of computer-aided language approaches with multicultural sensitivities, both for language teachers and for other educ

SLA Research and Materials Development for Language Learning is the only book available to focus on the interaction between second language acquisition theory and materials development for language le

SLA Research and Materials Development for Language Learning is the only book available to focus on the interaction between second language acquisition theory and materials development for language le