Bikramaditya Singhal (34 results)

Condition: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if youâre not satisfied with purchase please return item for full refund. Ships USPS Media Mail.

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Paperback. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.3.

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Paperback or Softback. Condition: New. Beginning Blockchain: A Beginner's Guide to Building Blockchain Solutions 1.24. Book.

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Taschenbuch. Condition: Neu. Neu Neuware, Importqualität, auf Lager - Understand the nuts and bolts of Blockchain, its different flavors with simple use cases, and cryptographic fundamentals. You will also learn some design considerations that can help you build custom solutions.Beginning Blockchain is a beginner's guide to understanding the core concepts of Blockchain from a technical perspective. By learning the design constructs of different types of Blockchain, you will get a better understanding of building the best solution for specific use cases. The book covers the technical aspects of Blockchain technologies, cryptography, cryptocurrencies, and distributed consensus mechanisms. You will learn how these systems work and how to engineer them to design next-gen business solutions. What You'll Learn Get a detailed look at how cryptocurrencies workUnderstand the core technical components of BlockchainBuild a secured Blockchain solution from cryptographic primitivesDiscover how to use different Blockchain platforms and their suitable use casesKnow the current development status, scope, limitations, and future of Blockchain Who This Book Is For Software developers and architects, computer science graduates, entrepreneurs, and anyone wishing to dive deeper into blockchain fundamentals. A basic understanding of computer science, data structure, and algorithms is helpful.

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Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Condition: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Paperback. Condition: Brand New. 386 pages. 9.25x6.25x0.75 inches. In Stock.

paperback. Condition: Sehr gut. Gebraucht - Sehr gut - ungelesen,als Mängelexemplar gekennzeichnet, mit leichten Mängeln an Schnitt oder Einband durch Lager- oder Transportschaden -Understand the nuts and bolts of Blockchain, its different flavors with simple use cases, and cryptographic fundamentals. You will also learn some design considerations that can help you build custom solutions.Beginning Blockchain is a beginner's guide to understanding the core concepts of Blockchain from a technical perspective. By learning the design constructs of different types of Blockchain, you will get a better understanding of building the best solution for specific use cases. The book covers the technical aspects of Blockchain technologies, cryptography, cryptocurrencies, and distributed consensus mechanisms. You will learn how these systems work and how to engineer them to design next-gen business solutions.What You'll LearnGet a detailed look at how cryptocurrencies workUnderstand the core technical components of BlockchainBuild a secured Blockchain solution from cryptographic primitivesDiscover how to use different Blockchain platforms and their suitable use casesKnow the current development status, scope, limitations, and future of BlockchainWho This Book Is ForSoftware developers and architects, computer science graduates, entrepreneurs, and anyone wishing to dive deeper into blockchain fundamentals. A basic understanding of computer science, data structure, and algorithms is helpful.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 404 pp. Englisch.

Digital. Condition: New. Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0About This Book. Perform data analysis and build predictive models on huge datasets that leverage Apache Spark. Learn to integrate data science algorithms and techniques with the fast and scalable computing features of Spark to address big data challenges. Work through practical examples on real-world problems with sample code snippetsWho This Book Is ForThis book is for anyone who wants to leverage Apache Spark for data science and machine learning. If you are a technologist who wants to expand your knowledge to perform data science operations in Spark, or a data scientist who wants to understand how algorithms are implemented in Spark, or a newbie with minimal development experience who wants to learn about Big Data Analytics, this book is for you!What You Will Learn. Consolidate, clean, and transform your data acquired from various data sources. Perform statistical analysis of data to find hidden insights. Explore graphical techniques to see what your data looks like. Use machine learning techniques to build predictive models. Build scalable data products and solutions. Start programming using the RDD, DataFrame and Dataset APIs. Become an expert by improving your data analytical skillsIn DetailThis is the era of Big Data. The words 'Big Data' implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages.Whether you are a technologist, a data scientist, or a beginner to Big Data analytics, this book will provide you with all the skills necessary to perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions using Python, Scala, and R.With ample case studies and real-world examples, Spark for Data Science will help you ensure the successful execution of your data science projects.Style and approachThis book takes a step-by-step approach to statistical analysis and machine learning, and is explained in a conversational and easy-to-follow style. Each topic is explained sequentially with a focus on the fundamentals as well as the advanced concepts of algorithms and techniques. Real-world examples with sample code snippets are also included.

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Taschenbuch. Condition: Neu. Neuware -Understand the nuts and bolts of Blockchain, its different flavors with simple use cases, and cryptographic fundamentals. You will also learn some design considerations that can help you build custom solutions.Beginning Blockchain is a beginner¿s guide to understanding the core concepts of Blockchain from a technical perspective. By learning the design constructs of different types of Blockchain, you will get a better understanding of building the best solution for specific use cases. The book covers the technical aspects of Blockchain technologies, cryptography, cryptocurrencies, and distributed consensus mechanisms. You will learn how these systems work and how to engineer them to design next-gen business solutions.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 404 pp. Englisch.

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Digital. Condition: New. Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0About This Book. Perform data analysis and build predictive models on huge datasets that leverage Apache Spark. Learn to integrate data science algorithms and techniques with the fast and scalable computing features of Spark to address big data challenges. Work through practical examples on real-world problems with sample code snippetsWho This Book Is ForThis book is for anyone who wants to leverage Apache Spark for data science and machine learning. If you are a technologist who wants to expand your knowledge to perform data science operations in Spark, or a data scientist who wants to understand how algorithms are implemented in Spark, or a newbie with minimal development experience who wants to learn about Big Data Analytics, this book is for you!What You Will Learn. Consolidate, clean, and transform your data acquired from various data sources. Perform statistical analysis of data to find hidden insights. Explore graphical techniques to see what your data looks like. Use machine learning techniques to build predictive models. Build scalable data products and solutions. Start programming using the RDD, DataFrame and Dataset APIs. Become an expert by improving your data analytical skillsIn DetailThis is the era of Big Data. The words 'Big Data' implies big innovation and enables a competitive advantage for businesses. Apache Spark was designed to perform Big Data analytics at scale, and so Spark is equipped with the necessary algorithms and supports multiple programming languages.Whether you are a technologist, a data scientist, or a beginner to Big Data analytics, this book will provide you with all the skills necessary to perform statistical data analysis, data visualization, predictive modeling, and build scalable data products or solutions using Python, Scala, and R.With ample case studies and real-world examples, Spark for Data Science will help you ensure the successful execution of your data science projects.Style and approachThis book takes a step-by-step approach to statistical analysis and machine learning, and is explained in a conversational and easy-to-follow style. Each topic is explained sequentially with a focus on the fundamentals as well as the advanced concepts of algorithms and techniques. Real-world examples with sample code snippets are also included.

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