Tag: Analytics

Procurement Analytics Data-Driven Decision-Making in Procurement and Supply Management


Free Download Procurement Analytics: Data-Driven Decision-Making in Procurement and Supply Management (Springer Series in Supply Chain Management, 22) by Christian Mandl
English | December 29, 2023 | ISBN: 3031432800 | 282 pages | MOBI | 17 Mb
This unique textbook explicitly addresses the intersection of advanced analytics and procurement. It is motivated by one core question: How can firms generate (economic) value from procurement data? It demonstrates that procurement is one of the major functions within a firm where data analytics, artificial intelligence, and operations research can successfully be leveraged to reduce cost and risk and to achieve resilience and sustainability goals.

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Predictive Analytics with Microsoft Azure Machine Learning Build and Deploy Actionable Solutions in Minutes


Free Download Valentine Fontama, "Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy Actionable Solutions in Minutes"
English | ISBN: 1484204468 | 2014 | 188 pages | AZW3 | 3 MB
Data Science and Machine Learning are in high demand, as customers are increasingly looking for ways to glean insights from all their data. More customers now realize that Business Intelligence is not enough as the volume, speed and complexity of data now defy traditional analytics tools. While Business Intelligence addresses descriptive and diagnostic analysis, Data Science unlocks new opportunities through predictive and prescriptive analysis.The purpose of this book is to provide a gentle and instructionally organized introduction to the field of data science and machine learning, with a focus on building and deploying predictive models.The book also provides a thorough overview of the Microsoft Azure Machine Learning service using task oriented descriptions and concrete end-to-end examples, sufficient to ensure the reader can immediately begin using this important new service. It describes all aspects of the service from data ingress to applying machine learning and evaluating the resulting model, to deploying the resulting model as a machine learning web service. Finally, this book attempts to have minimal dependencies, so that you can fairly easily pick and choose chapters to read. When dependencies do exist, they are listed at the start and end of the chapter.The simplicity of this new service from Microsoft will help to take Data Science and Machine Learning to a much broader audience than existing products in this space. Learn how you can quickly build and deploy sophisticated predictive models as machine learning web services with the new Azure Machine Learning service from Microsoft.

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Predictive Analytics for the Modern Enterprise A Practitioner’s Guide to Designing and Implementing Solutions


Free Download Predictive Analytics for the Modern Enterprise: A Practitioner’s Guide to Designing and Implementing Solutions by Nooruddin Abbas Ali
English | June 25, 2024 | ISBN: 1098136861 | 358 pages | MOBI | 7.03 Mb
The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today’s forward-thinking companies.

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Hands-On Predictive Analytics with Python


Free Download Alvaro Fuentes, "Hands-On Predictive Analytics with Python: Master the complete predictive analytics process, from problem definition to model deployment"
English | 2018 | ISBN: 178913871X | PDF | pages: 320 | 8.4 mb
Step-by-step guide to build high performing predictive applications

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Decision-Driven Analytics Leveraging Human Intelligence to Unlock the Power of Data


Free Download Decision-Driven Analytics: Leveraging Human Intelligence to Unlock the Power of Data by Bart De Langhe, Stefano Puntoni
English | May 14, 2024 | ISBN: 1613631715 | 120 pages | PDF | 2.22 Mb
Companies have more data at their fingertips than ever before. Yet, studies show that many executives and organizations fail to extract real value from it.

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Data-Driven HR How to Use AI, Analytics and Data to Drive Performance, 2nd Edition


Free Download Data-Driven HR: How to Use AI, Analytics and Data to Drive Performance, 2nd Edition by Bernard Marr
English | December 3rd, 2023 | ISBN: 1398614564 | 240 pages | True EPUB | 1.42 MB
How can HR professionals utilize and leverage their organization’s data effectively, with the use of AI, for more talent attraction, better employee engagement and higher talent retention to ultimately drive performance?

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Data Analytics with Spark Using Python


Free Download Data Analytics with Spark Using Python (Addison-Wesley Data & Analytics Series) by Jeffrey Aven
English | June 6, 2018 | ISBN: 013484601X | True EPUB | 320 pages | 25.8 MB
Solve Data Analytics Problems with Spark, PySpark, and Related Open Source Tools

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Data Analytics for Marketing A practical guide to analyzing marketing data using Python


Free Download Data Analytics for Marketing: A practical guide to analyzing marketing data using Python by Guilherme Diaz-BĂ©rrio
English | May 10, 2024 | ISBN: 1803241608 | 452 pages | PDF | 23 Mb
Conduct data-driven marketing research and analysis with hands-on examples using Python by leveraging open-source tools and libraries Key FeaturesAnalyze marketing data using proper statistical techniquesUse data modeling and analytics to understand customer preferences and enhance strategies without complex mathImplement Python libraries like DoWhy, Pandas, and Prophet in a business setting with examples and use casesBook Description

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Big Data Analytics in Intelligent IoT and Cyber-Physical Systems (Transactions on Computer Systems and Networks)


Free Download Big Data Analytics in Intelligent IoT and Cyber-Physical Systems (Transactions on Computer Systems and Networks) by Nonita Sharma, Monika Mangla, Subhash K. Shinde
English | November 5, 2023 | ISBN: 9819945178 | 328 pages | MOBI | 23 Mb
This book explores the complete system perspective, underlying theories, modeling, and applications of cyber-physical systems (CPS). Considering the interest of researchers and academicians, the editors present this book in a multidimensional perspective covering CPS at breadth. It covers topics ranging from discussion of rudiments of the system and efficient management to recent research challenges and issues.

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