Kirjahaku
Etsi kirjoja tekijän nimen, kirjan nimen tai ISBN:n perusteella.
1000 tulosta hakusanalla Jose P Filio
This is an edited collection of nuggets of game design wisdom. It covers various areas in game design with examples from commercially released videogames. Its goal is to share and raise awareness of excellent game design. The contributing authors are B. Barker, M. Caldwell, J. Grahmann, K. Kotter, L. Neuschwander, T. S. Richard, and J. Zagal.
It seems like teaching about games should be easy. After all, students enjoy engaging with course content and have extensive experience with videogames. However, games education can be surprisingly complex. This book explores ludoliteracy, or the question of what it means to understand games, by looking at the challenges and problems faced by students taking games-related classes. In response to these challenges, this book then describes how online learning environments can be used to support learning about games by helping students get more from their experiences with games, and helping students use what they know to establish deeper understanding. Based on the findings from a series of research studies, Ludoliteracy examines the broader implications for supporting games education.
"A superb reference." Physics Today "Will become a classic text in climate research. " Physics World "Valuable to anyone who studies, models, or uses the climate of the earth." Walter Robinson, Bulletin of the American Meteorological Society "Informative and authoritative on a remarkably wide range of topics." Nature Are we entering a period of global warming? Is weather predictable? Physics of Climate offers you an in-depth description of atmospheric circulation and how environmental phenomena worldwide interact in a single, unified system. This integrated approach unites all the key features of the climate system--oceans, atmosphere, and cryosphere--to explain the structure and behavior of climate over time. Ideal for students and professionals in meteorology, oceanography, geophysics, and physics.
It seems like teaching about games should be easy. After all, students enjoy engaging with course content and have extensive experience with videogames. However, games education can be surprisingly complex. This book explores ludoliteracy, or the question of what it means to understand games, by looking at the challenges and problems faced by students taking games-related classes. In response to these challenges, this book then describes how online learning environments can be used to support learning about games by helping students get more from their experiences with games, and helping students use what they know to establish deeper understanding. Based on the findings from a series of research studies, Ludoliteracy examines the broader implications for supporting games education.
Machine Learning using Weka
Jose P; Kanchana R; Manju A
Lap Lambert Academic Publishing
2024
nidottu
Machine learning provides an exciting set of technologies that includes practical tools for analyzing data and making predictions.It also powers the latest advances in artificial intelligence.The book continues to provide references to Weka implementations of algorithms that it describes. The Weka MOOCs provide activities similar to the tutorial exercises.It is our endeavour to make machine learning using Weka, a Discipline of statistics and computer science, the theory and practice of all of the plots and numerical output displayed in the book have been produced with the Weka software, reachable to all kind of students. Program forMachine learning using Weka and Learn practical skills to make your work more efficient.
Weka is a strong yet approachable machine learning and data mining tool. Data mining and big data are hot topics right now. Rather than diving into intricate mathematical theories or sophisticated algorithmic details, this course emphasizes hands-on experience with Weka and the practical applications of data mining tools and techniques. In addition to performing text classification and working with datasets with millions of instances, students will also investigate clustering, association rules, and other topics.
Weka ist ein leistungsf higes und dennoch leicht zug ngliches Werkzeug f r maschinelles Lernen und Data Mining. Data Mining und Big Data sind im Moment ein hei es Thema. Anstatt in komplizierte mathematische Theorien oder ausgefeilte Algorithmen einzutauchen, legt dieser Kurs den Schwerpunkt auf die praktische Erfahrung mit Weka und die praktische Anwendung von Data-Mining-Tools und Techniken. Neben der Durchf hrung von Textklassifizierungen und der Arbeit mit Datens tzen mit Millionen von Instanzen werden die Teilnehmer auch Clustering, Assoziationsregeln und andere Themen untersuchen.
Weka est un outil d'apprentissage automatique et d'exploration de donn es la fois puissant et accessible. Le data mining et le big data sont des sujets d'actualit . Plut t que de plonger dans des th ories math matiques complexes ou des d tails algorithmiques sophistiqu s, ce cours met l'accent sur l'exp rience pratique avec Weka et les applications pratiques des outils et techniques de data mining. En plus d'effectuer la classification de textes et de travailler avec des ensembles de donn es contenant des millions d'instances, les tudiants tudieront galement le clustering, les r gles d'association et d'autres sujets.
Weka uno strumento di apprendimento automatico e di data mining solido ma accessibile. Il data mining e i big data sono temi di grande attualit . Piuttosto che immergersi in intricate teorie matematiche o sofisticati dettagli algoritmici, questo corso enfatizza l'esperienza pratica con Weka e le applicazioni pratiche di strumenti e tecniche di data mining. Oltre a eseguire la classificazione di testi e a lavorare con insiemi di dati con milioni di istanze, gli studenti studieranno anche il clustering, le regole di associazione e altri argomenti.
O Weka uma ferramenta de aprendizagem autom tica e extra o de dados robusta mas acess vel. A extra o de dados e os grandes volumes de dados s o t picos quentes neste momento. Em vez de mergulhar em teorias matem ticas complexas ou detalhes algor tmicos sofisticados, este curso enfatiza a experi ncia pr tica com o Weka e as aplica es pr ticas de ferramentas e t cnicas de extra o de dados. Al m de realizar a classifica o de texto e trabalhar com conjuntos de dados com milh es de inst ncias, os alunos tamb m investigar o agrupamento, regras de associa o e outros t picos.
Computational Structures in R
Jose P; Mary Vespa M; Rekha S
Lap Lambert Academic Publishing
2026
pokkari
R's computational core, covering fundamental data types, vectorized operations, and advanced data structures including matrices, arrays, lists, factors, and data frames. It emphasizes efficient numerical computation, logical and character vector operations, and structured data manipulation, along with R's object-oriented systems (S3, S4, and Reference Classes) for building modular, scalable programs. The focus is on computation-oriented programming principles essential for statistical computing and data-centric applications.
Diana an Illustrated Collection and Price Guide: Porcelain Plates
Mary McMaster; Jose P. Torres
AuthorHouse
2003
pokkari
Percutaneous Ventricular Support, An issue of Interventional Cardiology Clinics
Howard Cohen; Jose P.S. Henriques
Elsevier - Health Sciences Division
2013
sidottu
This issue of Interventional Cardiology Clinics reviews percutaneous circulatory support device use in several situations, including left and right ventricular shock, cardiopulmonary resuscitation, and infarct size reduction. Keep up to date with the latest developments in this rapidly evolving field.