Graphical Models for Machine Learning and Digital Communication

Though working with people with learning difficulties has become an increasingly important speciality for the speech therapist, much of the rationale for this work has yet to be established. Practitio

Copyright 2010 by IGI Global. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying,

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algo

Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning

Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning

Offering sequenced guidance for non-specialists on how to reap the benefits of machine learning in medicine and healthcare, this text harnesses the power of cutting-edge computing to maximize the acce

Machine learning-a computer's ability to learn-is transforming our world: it is used to understand images, process text, make predictions by analyzing large amounts of data, and much more. It can be used in nearly every industry to improve efficiency and help stakeholders make better decisions. Whatever your industry or hobby, chances are that these modern artificial intelligence methods will be useful to you as well.Introduction to Machine Learning weaves reproducible coding examples into explanatory text to show what machine learning is, how it can be applied, and how it works. Perfect for anyone new to the world of AI or those looking to further their understanding, the text begins with a brief introduction to the Wolfram Language, the programming language used for the examples throughout the book. From there, readers are introduced to key concepts before exploring common methods and paradigms such as classification, regression, clustering, and deep learning. The math content is kep

Provides students, executives, and managers with vital resources to lead their organizations to higher levels of performance.

When machine learning engineers work with data sets, they may find the results aren't as good as they need. Instead of improving the model or collecting more data, they can use the feature engineering process to help improve results by modifying the data's features to better capture the nature of the problem. This practical guide to feature engineering is an essential addition to any data scientist's or machine learning engineer's toolbox, providing new ideas on how to improve the performance of a machine learning solution. Beginning with the basic concepts and techniques, the text builds up to a unique cross-domain approach that spans data on graphs, texts, time series, and images, with fully worked out case studies. Key topics include binning, out-of-fold estimation, feature selection, dimensionality reduction, and encoding variable-length data. The full source code for the case studies is available on a companion website as Python Jupyter notebooks.

Become proficient in deriving insights from time-series data and analyzing a model's performanceKey Features: Explore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time-series via real-world case studies on operations management, digital marketing, finance, and healthcareBook Description: Machine learning has emerged as a powerful tool to understand hidden complexities in time-series datasets, which frequently need to be analyzed in areas as diverse as healthcare, economics, digital marketing, and social sciences. These datasets are essential for forecasting and predicting outcomes or for detecting anomalies to support informed decision making.This book covers Python basics for time-series and builds your understanding of traditional autoregressive models as well as modern non-parametric models. You will become confident with

This book provides a general framework for learning sparse graphical models with conditional independence tests. It includes complete treatments for Gaussian, Poisson, multinomial, and mixed data; uni

Designing Effective Digital Badges is a guide to digital badge design principles that examines the advantages and challenges of implementing and assessing this emerging credentialing system. The book

Offers practical guidance for working with children aged three-five years, including suggestions for activities and resources, discussion of theoretical issues, and numerous classroom examples.

TeachingAyDigital Natives presents teachers with an intuitive yet highly innovative and research-based partnership model designed to promote student learning through the use of technology. Emphasizin

"This book examines the benefits and costs associated with the utilization of technology-mediated instructional environments, recognizing that instructional technology could offer alternative means of

The question that animates volume, 16th in the Service-Learning in the Disciplines Series, is: Why connect service-learning to history courses? The contributors answer that question in different ways

This is an outstanding resource for researchers studying the dynamics of learning and development. The chapters are a well-balanced mix of applied and technical treatments of the latest methodologica

This book represents the 14th in the Service-Learning in the Disciplines Series and concentrates on how service-learning can be successfully incorporated in engineering programs, a discipline to which

This practical guide is intended for faculty and service-learning directors, combining the how-to information and rigorous intellectual framework that teachers seek. What distinguishes this volume is

Ninth in the Service-Learning in the Disciplines Series, this book discusses the pervasive use of service-learning in environmental studies programs and explains why it often is a required part of the

This practical guide is intended for faculty and service-learning directors, combining the how-to information and rigorous intellectual framework that teachers seek. What distinguishes this volume is

The first volume in AAHE and Campus Compact’s series on service-learning in the disciplines, the book discusses the microrevolution in college-level Composition through service-learning. The essays in

Word-writing practice and activities, including That's Silly!(TM) and Hidden Pictures® puzzles, combine with digital video tutorials in a practice pad developed with handwriting experts Zaner-Blos

Letter tracing and writing activities combine with That's Silly!(TM), Hidden Pictures®, and other puzzles, as well as digital video tutorials, in a practice pad developed with handwriting experts

This cursive handwriting practice pad, developed with handwriting experts Zaner-Bloser, combines Hidden Pictures® puzzles and activities with digital video tutorials that correspond to each page t

Tracing and pen-control exercises combine with activities, including Hidden Pictures® puzzles, as well as digital video tutorials in a practice pad developed with handwriting experts Zaner-Bloser