Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Machine Learning with Python
This book is meant as a textbook for undergraduate and graduate students who are willing to understand essential elements of machine learning from both a theoretical and a practical perspective. The choice of the topics in the book is made based on one criterion: whether the practical utility of a certain method justifies its theoretical elaboration for students with a typical mathematical background in engineering and other quantitative fields. As a result, not only does the book contain practically useful techniques, it also presents them in a mathematical language that is accessible to both graduate and advanced undergraduate students. The textbook covers a range of topics including neare...
Re-Imagining Class
Unique cross-cultural and multimedial approach to class identity and precarity in literature, theatre, and film Contemporary culture not merely reflects ongoing societal transformations, it shapes our understanding of rapidly evolving class realities. Literature, theatre, and film urge us to put the question of class back on the agenda, and reconceptualize it through the lens of precarity and intersectionality. Relying on examples from British, French, Spanish, German, American, Swedish and Taiwanese culture, the contributors to this book document a variety of aesthetic strategies in an interdisciplinary dialogue with sociology and political theory. Doing so, this volume demonstrates the myriad ways in which culture opens up new pathways to imagine and re-imagine class as an economic relation, an identity category, and a subjective experience. Situated firmly within current debates about the impact of social mobility, precarious work, intersectional structures of exploitation, and interspecies vulnerability, this volume offers a wide-ranging panorama of contemporary class imaginaries.
Design, Learning, and Innovation
This book constitutes the refereed post-conference proceedings the 5th EAI International Conference on DLI 2020, Design, Leaning and Innovation, which took place in December 2020. Due to COVID-19 pandemic the conference was held virtually. The 14 revised full papers presented were carefully selected from 40 submissions and are organized in four thematic sessions on: digital technologies and learning; designing for innovation; digital games, gamification and robots; designs for innovative learning.
Life System Modeling and Intelligent Computing
The 2010 International Conference on Life System Modeling and Simulation (LSMS 2010) and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE 2010) were formed to bring together researchers and practitioners in the fields of life system modeling/simulation and intelligent computing applied to worldwide sustainable energy and environmental applications. A life system is a broad concept, covering both micro and macro components ra- ing from cells, tissues and organs across to organisms and ecological niches. To c- prehend and predict the complex behavior of even a simple life system can be - tremely difficult using conventional approaches. To...
Slatter's Fundamentals of Veterinary Ophthalmology
Practical, clinically focused coverage provides a one-stop diagnostic guide to ophthalmic disease in small and large animals including birds and exotic pets.Logical organization by anatomic region makes topics easy to locate.Nearly 1,000 color images present illustrated, step-by-step procedures that guide you through the recognition, diagnosis, and treatment of ocular conditions you are most likely to encounter.A team of three internationally respected veterinary ophthalmologists co-edit this reference to provide comprehensive, clinical expertise.Useful tables and charts summarize important facts and show treatment instructions at a glance."Clinical Tips" boxes offer helpful practice advice....
Intelligent Information and Database Systems
The two-volume set LNAI 10191 and 10192 constitutes the refereed proceedings of the 9th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2017, held in Kanazawa, Japan, in April 2017. The total of 152 full papers accepted for publication in these proceedings was carefully reviewed and selected from 420 submissions. They were organized in topical sections named: Knowledge Engineering and Semantic Web; Social Networks and Recommender Systems; Text Processing and Information Retrieval; Intelligent Database Systems; Intelligent Information Systems; Decision Support and Control Systems; Machine Learning and Data Mining; Computer Vision Techniques; Advanced Data Mining Techn...
Databases Illuminated
Databases Illuminated, Fourth Edition is designed to help students integrate theoretical material with practical knowledge, using an approach that applies theory to practical database implementation.
Guide to High Performance Distributed Computing
This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies. Comprehensive in scope, the book presents state-of-the-art material on building high performance distributed computing systems, providing practical guidance and best practices as well as describing theoretical software frameworks. Features: describes the fundamentals of building scalable software systems for large-scale data processing in the new paradigm of high performance distributed computing; presents an overview of the Hadoop ecosystem, followed by step-by-step instruction on its installation, programming and execution; Reviews the basics of Spark, including resilient distributed datasets, and examines Hadoop streaming and working with Scalding; Provides detailed case studies on approaches to clustering, data classification and regression analysis; Explains the process of creating a working recommender system using Scalding and Spark.
Guide to Intelligent Data Science
Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results. Substantially updating the previous edition, then entitled Guide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how th...
Support Vector Machines: Theory and Applications
The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of the art of the mathematical foundation of SVM in statistical learning theory, as well as novel algorithms and applications. Support Vector Machines provides a selection of numerous real-world applications, such as bioinformatics, text categorization, pattern recognition, and object detection, written by leading experts in their respective fields.
