minteer andrew (18 résultats)

Etat : New.

Etat : New.

Etat : New. SUPER FAST SHIPPING.

Paperback or Softback. Etat : New. Analytics for the Internet of Things (IoT): Intelligent analytics for your intelligent devices 1.43. Book.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. In.

PF. Etat : New.

Digital. Etat : New. Break through the hype and learn how to extract actionable intelligence from the flood of IoT dataAbout This Book. Make better business decisions and acquire greater control of your IoT infrastructure. Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices. Uncover the business potential generated by data from IoT devices and bring down business costsWho This Book Is ForThis book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be usefulWhat You Will Learn. Overcome the challenges IoT data brings to analytics. Understand the variety of transmission protocols for IoT along with their strengths and weaknesses. Learn how data flows from the IoT device to the final data set. Develop techniques to wring value from IoT data. Apply geospatial analytics to IoT data. Use machine learning as a predictive method on IoT data. Implement best strategies to get the most from IoT analytics. Master the economics of IoT analytics in order to optimize business valueIn DetailWe start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques.Next we review how IoT devices generate data and how the information travels over networks. You'll get to know strategies to collect and store the data to optimize the potential for analytics, and strategies to handle data quality concerns.Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We'll also review the economics of IoT analytics and you'll discover ways to optimize business value.By the end of the book, you'll know how to handle scale for both data storage and analytics, how Apache Spark can be leveraged to handle scalability, and how R and Python can be used for analytic modeling.Style and approachThis book follows a step-by-step, practical approach to combine the power of analytics and IoT and help you get results quickly.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. &Uumlber den AutorrnrnAndrew Minteer is currently the senior director, data science and research at a leading global retail company. Prior to that, he served as the director, IoT Analytics and Machine Learning at a Fortune 500 manufacturing com.

Paperback. Etat : New. New. book.

Digital. Etat : New. Break through the hype and learn how to extract actionable intelligence from the flood of IoT dataAbout This Book. Make better business decisions and acquire greater control of your IoT infrastructure. Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices. Uncover the business potential generated by data from IoT devices and bring down business costsWho This Book Is ForThis book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be usefulWhat You Will Learn. Overcome the challenges IoT data brings to analytics. Understand the variety of transmission protocols for IoT along with their strengths and weaknesses. Learn how data flows from the IoT device to the final data set. Develop techniques to wring value from IoT data. Apply geospatial analytics to IoT data. Use machine learning as a predictive method on IoT data. Implement best strategies to get the most from IoT analytics. Master the economics of IoT analytics in order to optimize business valueIn DetailWe start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques.Next we review how IoT devices generate data and how the information travels over networks. You'll get to know strategies to collect and store the data to optimize the potential for analytics, and strategies to handle data quality concerns.Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We'll also review the economics of IoT analytics and you'll discover ways to optimize business value.By the end of the book, you'll know how to handle scale for both data storage and analytics, how Apache Spark can be leveraged to handle scalability, and how R and Python can be used for analytic modeling.Style and approachThis book follows a step-by-step, practical approach to combine the power of analytics and IoT and help you get results quickly.

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 813.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Break through the hype and learn how to extract actionable intelligence from the flood of IoT data Key Features Make better business decisions and acquire greater control of your IoT infrastructure Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices Uncover the business potential generated by data from IoT devices and bring down business costs Book Description We start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques. Next we review how IoT devices generate data and how the information travels over networks. You'll get to know strategies to collect and store the data to optimize the potential for analytics, and strategies to handle data quality concerns. Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We'll also review the economics of IoT analytics and you'll discover ways to optimize business value. By the end of the book, you'll know how to handle scale for both data storage and analytics, how Apache Spark can be leveraged to handle scalability, and how R and Python can be used for analytic modeling. What you will learn Overcome the challenges IoT data brings to analytics Understand the variety of transmission protocols for IoT along with their strengths and weaknesses Learn how data flows from the IoT device to the final data set Develop techniques to wring value from IoT data Apply geospatial analytics to IoT data Use machine learning as a predictive method on IoT data Implement best strategies to get the most from IoT analytics Master the economics of IoT analytics in order to optimize business value Who this book is for This book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be useful.