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An Introduction to Performance Analysis of Sport

by Adam Cullinane, Gemma Davies, Peter O'Donoghue ...

Series series Routledge Studies in Sports Performance Analysis
Performance analysis has become an essential tool for coaches, athletes, sports organisations and academic researchers. Collecting and interpreting performance data enables coaches to improve their training programmes, athletes to make better tactical decisions, sports organisations to manage teams more effectively and researchers to develop a better understanding of sports performance. This fully ... Read more

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Performance analysis has become an essential tool for coaches, athletes, sports organisations and academic researchers. Collecting and interpreting performance data enables coaches to improve their training programmes, athletes to make better tactical decisions, sports organisations to manage teams more effectively and researchers to develop a better understanding of sports performance. This fully
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Series series Intelligent Technologies and Robotics (R0)
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This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and
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The Rise Of AI Agents

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"The Rise of AI Agents: Transforming Work and Society" by Tamer AlaaEldine examines artificial intelligence's impact on work and society, with a focus on agentic AI. The book presents a comprehensive analysis of automation's evolution and its implications for the future.The narrative begins with automation's historical context, from ancient innovations to modern technology. Through a creative
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Mastering Parallel Programming with R

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by Simon R. Chapple, Eilidh Troup, Thorsten Forster, Terence Sloan ...

Master the robust features of R parallel programming to accelerate your data science computationsKey Features\[\*\]Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest\[\*\]Become an expert in writing the most efficient and highest performance parallel algorithms in R\[\*\]Get to grips with the concept of parallelism to accelerate your ... Read more

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Master the robust features of R parallel programming to accelerate your data science computationsKey Features\[\*\]Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest\[\*\]Become an expert in writing the most efficient and highest performance parallel algorithms in R\[\*\]Get to grips with the concept of parallelism to accelerate your
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Apache Spark for Machine Learning

Build and deploy high-performance big data AI solutions for large-scale clusters

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Develop your data science skills with Apache Spark to solve real-world problems for Fortune 500 companies using scalable algorithms on large cloud computing clustersKey FeaturesApply techniques to analyze big data and uncover valuable insights for machine learningLearn to use cloud computing clusters for training machine learning models on large datasetsDiscover practical strategies to overcome ... Read more

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Develop your data science skills with Apache Spark to solve real-world problems for Fortune 500 companies using scalable algorithms on large cloud computing clustersKey FeaturesApply techniques to analyze big data and uncover valuable insights for machine learningLearn to use cloud computing clusters for training machine learning models on large datasetsDiscover practical strategies to overcome
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A Leader's Guide to Ethical AI and Governance

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Develop a company-specific, ethical approach to govern AI solutions, from building your business case and gaining enterprise support, with step-by-step guidance to deployment Free with your book: PDF Copy, AI Assistant, and Next-Gen ReaderKey FeaturesLearn exactly how to position an ethics-based approach to obtain executive buy-inDiscover how to launch an AI governance program at scale with ... Read more

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Develop a company-specific, ethical approach to govern AI solutions, from building your business case and gaining enterprise support, with step-by-step guidance to deployment Free with your book: PDF Copy, AI Assistant, and Next-Gen ReaderKey FeaturesLearn exactly how to position an ethics-based approach to obtain executive buy-inDiscover how to launch an AI governance program at scale with
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Deep Learning with PyTorch Lightning

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by Kunal Sawarkar, Dheeraj Arremsetty ...

Build, train, and deploy deep learning models quickly and accurately to improve your productivity using PyTorch Lightning WrapperKey FeaturesBecome well-versed with PyTorch Lightning and learn how to implement it in various applicationsSpeed up your research using PyTorch Lightning by creating new loss functions, and architecturesTrain and build new DL applications for images, audio, video, ... Read more

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Build, train, and deploy deep learning models quickly and accurately to improve your productivity using PyTorch Lightning WrapperKey FeaturesBecome well-versed with PyTorch Lightning and learn how to implement it in various applicationsSpeed up your research using PyTorch Lightning by creating new loss functions, and architecturesTrain and build new DL applications for images, audio, video,
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The Self-Service Data Roadmap

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Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data.With this practical book, data engineers, data scientists, and team managers will learn how to build ... Read more

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Think about your data intelligently and ask the right questionsKey FeaturesMaster data cleaning techniques necessary to perform real-world data science and machine learning tasksSpot common problems with dirty data and develop flexible solutions from first principlesTest and refine your newly acquired skills through detailed exercises at the end of each chapterBook DescriptionData cleaning is the ... Read more

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Think about your data intelligently and ask the right questionsKey FeaturesMaster data cleaning techniques necessary to perform real-world data science and machine learning tasksSpot common problems with dirty data and develop flexible solutions from first principlesTest and refine your newly acquired skills through detailed exercises at the end of each chapterBook DescriptionData cleaning is the
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Thinking Clearly with Data

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An engaging introduction to data science that emphasizes critical thinking over statistical techniquesAn introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking ... Read more

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IBM SPSS Modeler Essentials

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Get to grips with the fundamentals of data mining and predictive analytics with IBM SPSS Modeler Key Features\[\*\]Get up–and-running with IBM SPSS Modeler without going into too much depth.\[\*\]Identify interesting relationships within your data and build effective data mining and predictive analytics solutions\[\*\]A quick, easy–to-follow guide to give you a fundamental understanding of SPSS ... Read more

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Data Visualization for People of All Ages

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This enhanced version includes audio content to provide a greater understanding of the text. When it comes to visualizing data, sight isn’t our only sense —we can hear and touch, too—which means that there are other senses that we can use to understand data without seeing a single thing. This version consists of eight audio files by the author to better understand how data can be shared in ways ... Read more

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Emerging Trends in Information Systems and Technologies

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This book comprises a selection of articles from the 13th World Conference on Information Systems and Technologies (WorldCIST’25), held from April 15 to 17, 2025, at the Federal University of Santa Catarina, Florianópolis, Brazil.WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and the
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Cybernetics, Cognition and Machine Learning Applications

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Edited by Vinit Kumar Gunjan, P. N. Suganthan, Jan Haase, Amit Kumar, Balasubramanian Raman ...

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This book provides a collection of selected papers presented at the International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2019), which was held in Goa, India, on 16–17 August 2019. It covers the latest research trends and advances in the areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, ... Read more

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This book provides a collection of selected papers presented at the International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2019), which was held in Goa, India, on 16–17 August 2019. It covers the latest research trends and advances in the areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications,
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Análise multivariada de dados para gestão de negócios

by Rita de Cássia Marques Lima de Castro ...

Series series Série Universitária
A Série Universitária foi desenvolvida pelo Senac São Paulo com o intuito de preparar profissionais para o mercado de trabalho. Os títulos abrangem diversas áreas, abordando desde conhecimentos teóricos e práticos adequados às exigências profissionais até a formação ética e sólida.Análise multivariada de dados para gestão e negócios aborda conceitos fundamentais para desenvolver o conhecimento que ... Read more

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Deep Learning with PyTorch

by Luca Pietro Giovanni Antiga, Eli Stevens, Thomas Viehmann ...

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“We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document.” —Soumith Chintala, co-creator of PyTorchKey FeaturesWritten by PyTorch’s creator and key contributorsDevelop deep learning models in a familiar Pythonic wayUse PyTorch to build an image classifier for cancer detectionDiagnose
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Resource Efficient LDPC Decoders

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This book takes a practical hands-on approach to developing low complexity algorithms and transforming them into working hardware. It follows a complete design approach – from algorithms to hardware architectures - and addresses some of the challenges associated with their design, providing insight into implementing innovative architectures based on low complexity algorithms.The reader will learn: ... Read more

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This book takes a practical hands-on approach to developing low complexity algorithms and transforming them into working hardware. It follows a complete design approach – from algorithms to hardware architectures - and addresses some of the challenges associated with their design, providing insight into implementing innovative architectures based on low complexity algorithms.The reader will learn:
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Getting Started with Flurry Analytics

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An easy-to-follow, step-by-step tutorial full of examples and code to help you quickly get started with Flurry analytics.This book is great for developers who want to track their applications instantly using Flurry analytics and who are looking to get a good grounding in how to use Flurry for analytics in their application. It's assumed that you will have some experience with Objective-C and a
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Data Science in Finance and Accounting

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Series series Economics and Finance (R0)
This book brings together innovative research at the intersection of data science, machine learning, and finance. Covering a wide spectrum of topics—including explainable AI, financial distress prediction, stock market forecasting, investment strategies, audit analytics, and economic modeling—it showcases both theoretical developments and applied case studies from around the world.With chapters ... Read more

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This book brings together innovative research at the intersection of data science, machine learning, and finance. Covering a wide spectrum of topics—including explainable AI, financial distress prediction, stock market forecasting, investment strategies, audit analytics, and economic modeling—it showcases both theoretical developments and applied case studies from around the world.With chapters
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When Data Moves

by Harveer Singh ...

When Data Moves is a revolutionary work that challenges the tech industry to remember that data systems serve humans, not machines. Written by Harveer Singh, a globally recognized data and AI leader with 25 years of experience transforming financial institutions, this book reveals the invisible infrastructure that powers modern life-from coffee orders to life-saving medical transactions.This is ... Read more

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When Data Moves is a revolutionary work that challenges the tech industry to remember that data systems serve humans, not machines. Written by Harveer Singh, a globally recognized data and AI leader with 25 years of experience transforming financial institutions, this book reveals the invisible infrastructure that powers modern life-from coffee orders to life-saving medical transactions.This is
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Practical MongoDB Aggregations

The official guide to developing optimal aggregation pipelines with MongoDB 7.0

by Paul Done ...

Begin your journey toward efficient data manipulation with this robust technical guide and enhance your aggregation skills while building efficient pipelines for a variety of tasksKey FeaturesBuild effective aggregation pipelines for increased productivity and performanceSolve common data manipulation and analysis problems with the help of practical examplesLearn essential strategies to aggregate ... Read more

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Begin your journey toward efficient data manipulation with this robust technical guide and enhance your aggregation skills while building efficient pipelines for a variety of tasksKey FeaturesBuild effective aggregation pipelines for increased productivity and performanceSolve common data manipulation and analysis problems with the help of practical examplesLearn essential strategies to aggregate
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Hands-On Machine Learning on Google Cloud Platform

Implementing smart and efficient analytics using Cloud ML Engine

by Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier, Bryan Fry, Antonio Gulli ...

Unleash Google\\'s Cloud Platform to build, train and optimize machine learning modelsKey FeaturesGet well versed in GCP pre-existing services to build your own smart modelsA comprehensive guide covering aspects from data processing, analyzing to building and training ML modelsA practical approach to produce your trained ML models and port them to your mobile for easy accessBook DescriptionGoogle ... Read more

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Unleash Google\\'s Cloud Platform to build, train and optimize machine learning modelsKey FeaturesGet well versed in GCP pre-existing services to build your own smart modelsA comprehensive guide covering aspects from data processing, analyzing to building and training ML modelsA practical approach to produce your trained ML models and port them to your mobile for easy accessBook DescriptionGoogle
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Introduction to Bayesian Tracking and Particle Filters

by Lawrence D. Stone, Roy L. Streit, Stephen L. Anderson ...

Series series Intelligent Technologies and Robotics (R0)
This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking. It also introduces the reader to multiple target tracking by presenting useful approximate methods that are easy to implement compared to full-blown multiple target trackers ... Read more

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This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking. It also introduces the reader to multiple target tracking by presenting useful approximate methods that are easy to implement compared to full-blown multiple target trackers
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