A Machine Learning Approach To Forecasting Consumer Food Prices

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Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing

Author : Valentina Emilia Balas
Publisher : Springer Nature
ISBN 13 : 9813349689
Total Pages : 795 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing by : Valentina Emilia Balas

Download or read book Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing written by Valentina Emilia Balas and published by Springer Nature. This book was released on 2021 with total page 795 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers presented at International Conference on Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC) 2020, organized by the Department of Information Technology, Institute of Engineering & Management, Kolkata, India, during 25-27 September 2020. It presents substantial new research findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.

Intelligent Computing and Innovation on Data Science

Author : Sheng-Lung Peng
Publisher : Springer Nature
ISBN 13 : 9811631530
Total Pages : 590 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Intelligent Computing and Innovation on Data Science by : Sheng-Lung Peng

Download or read book Intelligent Computing and Innovation on Data Science written by Sheng-Lung Peng and published by Springer Nature. This book was released on 2021-09-27 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers high-quality papers presented at 2nd International Conference on Technology Innovation and Data Sciences (ICTIDS 2021), organized by Lincoln University, Malaysia from 19 – 20 February 2021. It covers wide range of recent technologies like artificial intelligence and machine learning, big data and data sciences, Internet of Things (IoT), and IoT-based digital ecosystem. The book brings together works from researchers, scientists, engineers, scholars and students in the areas of engineering and technology, and provides an opportunity for the dissemination of original research results, new ideas, research and development, practical experiments, which concentrate on both theory and practices, for the benefit of common man.

Advanced Techniques for IoT Applications

Author : Jyotsna Kumar Mandal
Publisher : Springer Nature
ISBN 13 : 9811644357
Total Pages : 626 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Advanced Techniques for IoT Applications by : Jyotsna Kumar Mandal

Download or read book Advanced Techniques for IoT Applications written by Jyotsna Kumar Mandal and published by Springer Nature. This book was released on 2021-08-02 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original, unpublished contributions presented at the Sixth International Conference on Emerging Applications of Information Technology (EAIT 2020), held at the University of Kalyani, Kalyani, West Bengal, India, on November 2020. The book covers the topics such as image processing, computer vision, pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks, and IoT. It will also include IoT application-related papers in pattern recognition, artificial intelligence, expert systems, natural language understanding, image processing, computer vision, applications in biomedical engineering, artificial neural networks, fuzzy logic, evolutionary optimization, data mining, Web intelligence, intelligent agent technology, virtual reality, and visualization.

Analytics Enabled Decision Making

Author : Vinod Sharma
Publisher : Springer Nature
ISBN 13 : 981199658X
Total Pages : 315 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Analytics Enabled Decision Making by : Vinod Sharma

Download or read book Analytics Enabled Decision Making written by Vinod Sharma and published by Springer Nature. This book was released on 2023-05-23 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytics is changing the landscape of businesses across sectors globally. This has led to the stimulation of interest of scholars and practitioners worldwide in this domain. The emergence of ‘big data’, has fanned the usages of machine learning techniques and the acceptance of ‘Analytics Enabled Decision Making’. This book provides a holistic theoretical perspective combined with the application of such theories by drawing on the experiences of industry professionals and academicians from around the world. The book discusses several paradigms including pattern mining, clustering, classification, and data analysis to name a few. The main objective of this book is to offer insight into the process of decision-making that is accelerated and made more precise with the help of analytics.

Empirical Asset Pricing

Author : Wayne Ferson
Publisher : MIT Press
ISBN 13 : 0262039370
Total Pages : 497 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Empirical Asset Pricing by : Wayne Ferson

Download or read book Empirical Asset Pricing written by Wayne Ferson and published by MIT Press. This book was released on 2019-03-12 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.

Business Forecasting

Author : Michael Gilliland
Publisher : John Wiley & Sons
ISBN 13 : 1119782473
Total Pages : 435 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Business Forecasting by : Michael Gilliland

Download or read book Business Forecasting written by Michael Gilliland and published by John Wiley & Sons. This book was released on 2021-05-11 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 "opinion/editorial" Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.

The Economics of Artificial Intelligence

Author : Ajay Agrawal
Publisher : University of Chicago Press
ISBN 13 : 0226833127
Total Pages : 172 pages
Book Rating : 4.2/5 (268 download)

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Book Synopsis The Economics of Artificial Intelligence by : Ajay Agrawal

Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Foundations of Machine Learning, second edition

Author : Mehryar Mohri
Publisher : MIT Press
ISBN 13 : 0262351366
Total Pages : 505 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Foundations of Machine Learning, second edition by : Mehryar Mohri

Download or read book Foundations of Machine Learning, second edition written by Mehryar Mohri and published by MIT Press. This book was released on 2018-12-25 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review. This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.

Proceedings of International Conference on Computational Intelligence and Data Engineering

Author : Nabendu Chaki
Publisher : Springer Nature
ISBN 13 : 9811671826
Total Pages : 472 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of International Conference on Computational Intelligence and Data Engineering by : Nabendu Chaki

Download or read book Proceedings of International Conference on Computational Intelligence and Data Engineering written by Nabendu Chaki and published by Springer Nature. This book was released on 2022-02-28 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing. This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2021).

Intermittent Demand Forecasting

Author : John E. Boylan
Publisher : John Wiley & Sons
ISBN 13 : 1119135303
Total Pages : 403 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Intermittent Demand Forecasting by : John E. Boylan

Download or read book Intermittent Demand Forecasting written by John E. Boylan and published by John Wiley & Sons. This book was released on 2021-06-02 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTERMITTENT DEMAND FORECASTING The first text to focus on the methods and approaches of intermittent, rather than fast, demand forecasting Intermittent Demand Forecasting is for anyone who is interested in improving forecasts of intermittent demand products, and enhancing the management of inventories. Whether you are a practitioner, at the sharp end of demand planning, a software designer, a student, an academic teaching operational research or operations management courses, or a researcher in this field, we hope that the book will inspire you to rethink demand forecasting. If you do so, then you can contribute towards significant economic and environmental benefits. No prior knowledge of intermittent demand forecasting or inventory management is assumed in this book. The key formulae are accompanied by worked examples to show how they can be implemented in practice. For those wishing to understand the theory in more depth, technical notes are provided at the end of each chapter, as well as an extensive and up-to-date collection of references for further study. Software developments are reviewed, to give an appreciation of the current state of the art in commercial and open source software. “Intermittent demand forecasting may seem like a specialized area but actually is at the center of sustainability efforts to consume less and to waste less. Boylan and Syntetos have done a superb job in showing how improvements in inventory management are pivotal in achieving this. Their book covers both the theory and practice of intermittent demand forecasting and my prediction is that it will fast become the bible of the field.” —Spyros Makridakis, Professor, University of Nicosia, and Director, Institute for the Future and the Makridakis Open Forecasting Center (MOFC). “We have been able to support our clients by adopting many of the ideas discussed in this excellent book, and implementing them in our software. I am sure that these ideas will be equally helpful for other supply chain software vendors and for companies wanting to update and upgrade their capabilities in forecasting and inventory management.” —Suresh Acharya, VP, Research and Development, Blue Yonder. “As product variants proliferate and the pace of business quickens, more and more items have intermittent demand. Boylan and Syntetos have long been leaders in extending forecasting and inventory methods to accommodate this new reality. Their book gathers and clarifies decades of research in this area, and explains how practitioners can exploit this knowledge to make their operations more efficient and effective.” —Thomas R. Willemain, Professor Emeritus, Rensselaer Polytechnic Institute.

Machine Learning in Asset Pricing

Author : Stefan Nagel
Publisher : Princeton University Press
ISBN 13 : 0691218706
Total Pages : 156 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis Machine Learning in Asset Pricing by : Stefan Nagel

Download or read book Machine Learning in Asset Pricing written by Stefan Nagel and published by Princeton University Press. This book was released on 2021-05-11 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing. In this book, Stefan Nagel examines the promises and challenges of ML applications in asset pricing. Asset pricing problems are substantially different from the settings for which ML tools were developed originally. To realize the potential of ML methods, they must be adapted for the specific conditions in asset pricing applications. Economic considerations, such as portfolio optimization, absence of near arbitrage, and investor learning can guide the selection and modification of ML tools. Beginning with a brief survey of basic supervised ML methods, Nagel then discusses the application of these techniques in empirical research in asset pricing and shows how they promise to advance the theoretical modeling of financial markets. Machine Learning in Asset Pricing presents the exciting possibilities of using cutting-edge methods in research on financial asset valuation.

International Conference on Innovative Computing and Communications

Author : Ashish Khanna
Publisher : Springer Nature
ISBN 13 : 9811625972
Total Pages : 812 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis International Conference on Innovative Computing and Communications by : Ashish Khanna

Download or read book International Conference on Innovative Computing and Communications written by Ashish Khanna and published by Springer Nature. This book was released on 2021-08-31 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781728184074
Total Pages : pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) by : IEEE Staff

Download or read book 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) written by IEEE Staff and published by . This book was released on 2020-12-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Data & Distributed Computing Big Data, Cloud Computing, Soft Computing, Fuzzy Logic, Artificial Neural Networks, Mathematical Modeling and Simulation, Green Computing, Data Mining, Web Technology and Ontology, Decision Support Systems, Nano Electronics, Quantum Computing, Decentralized System Computer Network & Security Adhoc Networks, Wireless Networks, Sensor Networks, Security and Authentication, RFIDs, Parallel and Distributed Systems, Remote Sensing and Geographic Information Systems, Telecommunication and Mobile Communication Smart & Autonomous Systems Computer Vision, Artificial Intelligent, Pattern Recognition, Autonomous Robotics and Transportation, Image Processing, Speech Processing, Signal Processing, Nano Technology, Grid Technology, Power Systems, Distributed Embedded Systems, Robotics, Networked Health and Medical Systems Internet Services & Application Internet Technologies, Internet of Things, Software Defined Networking, Knowledge Engineering and Management

Stakeholder Wellbeing and Value Creation

Author : Uday Salunkhe
Publisher : Transnational Press London
ISBN 13 : 1801351708
Total Pages : 181 pages
Book Rating : 4.8/5 (13 download)

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Book Synopsis Stakeholder Wellbeing and Value Creation by : Uday Salunkhe

Download or read book Stakeholder Wellbeing and Value Creation written by Uday Salunkhe and published by Transnational Press London. This book was released on 2022-12-17 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: The relationship between firms and stakeholders is held together by a continuous two-way cycle of value creation. In this, how can value be managed such that the stakeholder's wellbeing is ensured? How does stakeholder wellbeing vary across business contexts? Are there varied perspectives in understanding stakeholder wellbeing? These and other pertinent questions have been addressed in this book. Particularly, this book provides a synthesis of research perspectives on value creation and stakeholder wellbeing through a collection of chapters from scholars in this area. It synthesizes research perspectives on value into three categories – firm-focused, customer-focused, and community-focused. In doing so, this book presents novel insights through these lenses and highlights best practices in ensuring stakeholder wellbeing. Responding to the rapidly changing business landscape where stakeholders are more connected, accessible, and informed than ever before, many firms are interested in creating value for all and in the process ensuring stakeholder wellbeing. This book will appeal to research scholars, practitioners, consultants, and managers looking to seek new insights and understanding on value creation. Contents: CHAPTER 1. PERSPECTIVES ON STAKEHOLDER WELLBEING AND VALUE CREATION - Bharath Rajan, Uday Salunkhe, D. N. Murthy CHAPTER 2. INFLUENCE OF SENSORY MARKETING ON CONSUMER BEHAVIOUR AND THEIR IMPACT ON BRAND EQUITY - Abhinandan N, Manasa K, Kiran G CHAPTER 3. ATTITUDE TOWARDS FEMALE ROLE PORTRAYAL IN ADVERTISING AND ITS IMPACT ON BRAND IMAGE & PURCHASE INTENTION: LINKAGES WITH FEMININE ROLE ORIENTATION - Shraddha Shivani, Evelina Sahay, Somnath Mukherjee, Sadiya Fatima CHAPTER 4. DETERMINANTS OF PURCHASE INTENTIONS TOWARDS GREEN MOBILES – AN EXTENSION OF THE THEORY OF PLANNED BEHAVIOUR (TPB) - Deepa Rohit CHAPTER 5. PREDICTING CONSUMER DECISIONS USING MODIFIED TEMPORAL MOTIVATION THEORY - Pranav Manjunath Bhat, Priyanshu M, S Shruti, Madhav Murthy CHAPTER 6. MARKETING 4.0: EMERGING TECHNOLOGIES THAT ARE REFINING DIGITAL MARKETING - Fathima Raj Kilimas, Ashish Chandra, Narendra Rustagi CHAPTER 7. MARKETING GAME CHANGERS: CAPITALIZING THE MICRO-MOMENT THROUGH AUGMENTED REALITY - Uday Salunkhe, D. Narasimha Murthy, Vijaya Kumar. B. CHAPTER 8. EXPLORATORY STUDY ON VALUE CREATION ALONG THE SUPPLY CHAIN OF ELECTRIC VEHICLES: AN OPINION MINING APPROACH - Dakshina Murthy R.A, Madhumita Guha Majumder, M. Khurrum S. Bhutta CHAPTER 9. VALUE CREATION FOR VENTURE CAPITAL-BACKED FIRMS BY AVOIDING THE.. LIKELIHOOD OF MORAL HAZARDS - Vandana Panwar, Christopher Erickson, Alan Tupicoff CHAPTER 10. APPLYING BEHAVIOURAL ECONOMICS TO BRING IN SOCIAL TRANSFORMATION: RURAL SHORING FOR STAKEHOLDER WELLBEING - Vikramaditya Kanodia and Rima Ghose Chowdhury

Interpretable Machine Learning

Author : Christoph Molnar
Publisher : Lulu.com
ISBN 13 : 0244768528
Total Pages : 320 pages
Book Rating : 4.2/5 (447 download)

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Book Synopsis Interpretable Machine Learning by : Christoph Molnar

Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Innovation in Food Ecosystems

Author : Paola De Bernardi
Publisher : Springer Nature
ISBN 13 : 303033502X
Total Pages : 296 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Innovation in Food Ecosystems by : Paola De Bernardi

Download or read book Innovation in Food Ecosystems written by Paola De Bernardi and published by Springer Nature. This book was released on 2019-11-28 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the intersections of entrepreneurship, innovation and sustainability in food systems, and presents high-quality research illustrating the central role that food consumption and production play in achieving sustainability goals. Entrepreneurship and innovation have become particularly relevant aspects in the European Union (EU), especially since the Sustainable Development Goals (SDGs) were announced in 2015. In many cases, innovations tend to arise from small and medium-sized enterprises, and from completely new entrepreneurial endeavors. This book represents essential reading for researchers and young academics seeking to reduce disparities and inequalities in food production and consumptions patterns. By encouraging sustainable entrepreneurship and innovation, it will also help young scholars find support for their startup ideas.

Applied Predictive Modeling

Author : Max Kuhn
Publisher : Springer Science & Business Media
ISBN 13 : 1461468493
Total Pages : 595 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Applied Predictive Modeling by : Max Kuhn

Download or read book Applied Predictive Modeling written by Max Kuhn and published by Springer Science & Business Media. This book was released on 2013-05-17 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.