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

Condizione: New.

Condizione: New.

Condizione: New. Big Data Analytics with Java (Paperback or Softback).

Condizione: As New. Unread book in perfect condition.

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

Digital. Condizione: New. Learn the basics of analytics on big data using Java, machine learning and other big data toolsAbout This Book. Acquire real-world set of tools for building enterprise level data science applications. Surpasses the barrier of other languages in data science and learn create useful object-oriented codes. Extensive use of Java compliant big data tools like apache spark, Hadoop, etc.Who This Book Is ForThis book is for Java developers who are looking to perform data analysis in production environment. Those who wish to implement data analysis in their Big data applications will find this book helpful.What You Will Learn. Start from simple analytic tasks on big data. Get into more complex tasks with predictive analytics on big data using machine learning. Learn real time analytic tasks. Understand the concepts with examples and case studies. Prepare and refine data for analysis. Create charts in order to understand the data. See various real-world datasetsIn DetailThis book covers case studies such as sentiment analysis on a tweet dataset, recommendations on a movielens dataset, customer segmentation on an ecommerce dataset, and graph analysis on actual flights dataset.This book is an end-to-end guide to implement analytics on big data with Java. Java is the de facto language for major big data environments, including Hadoop. This book will teach you how to perform analytics on big data with production-friendly Java. This book basically divided into two sections. The first part is an introduction that will help the readers get acquainted with big data environments, whereas the second part will contain a hardcore discussion on all the concepts in analytics on big data. It will take you from data analysis and data visualization to the core concepts and advantages of machine learning, real-life usage of regression and classification using Naive Bayes, a deep discussion on the concepts of clustering,and a review of simple neural networks on big data using deepLearning4j or plain Java Spark code. This book is a must-have book for Java developers who want to start learning big data analytics and want to use it in the real world.Style and approachThe approach of book is to deliver practical learning modules in manageable content. Each chapter is a self-contained unit of a concept in big data analytics. Book will step by step builds the competency in the area of big data analytics. Examples using real world case studies to give ideas of real applications and how to use the techniques mentioned. The examples and case studies will be shown using both theory and code.

Condizione: New. In.

Paperback. Condizione: New.

Digital. Condizione: New. Learn the basics of analytics on big data using Java, machine learning and other big data toolsAbout This Book. Acquire real-world set of tools for building enterprise level data science applications. Surpasses the barrier of other languages in data science and learn create useful object-oriented codes. Extensive use of Java compliant big data tools like apache spark, Hadoop, etc.Who This Book Is ForThis book is for Java developers who are looking to perform data analysis in production environment. Those who wish to implement data analysis in their Big data applications will find this book helpful.What You Will Learn. Start from simple analytic tasks on big data. Get into more complex tasks with predictive analytics on big data using machine learning. Learn real time analytic tasks. Understand the concepts with examples and case studies. Prepare and refine data for analysis. Create charts in order to understand the data. See various real-world datasetsIn DetailThis book covers case studies such as sentiment analysis on a tweet dataset, recommendations on a movielens dataset, customer segmentation on an ecommerce dataset, and graph analysis on actual flights dataset.This book is an end-to-end guide to implement analytics on big data with Java. Java is the de facto language for major big data environments, including Hadoop. This book will teach you how to perform analytics on big data with production-friendly Java. This book basically divided into two sections. The first part is an introduction that will help the readers get acquainted with big data environments, whereas the second part will contain a hardcore discussion on all the concepts in analytics on big data. It will take you from data analysis and data visualization to the core concepts and advantages of machine learning, real-life usage of regression and classification using Naive Bayes, a deep discussion on the concepts of clustering,and a review of simple neural networks on big data using deepLearning4j or plain Java Spark code. This book is a must-have book for Java developers who want to start learning big data analytics and want to use it in the real world.Style and approachThe approach of book is to deliver practical learning modules in manageable content. Each chapter is a self-contained unit of a concept in big data analytics. Book will step by step builds the competency in the area of big data analytics. Examples using real world case studies to give ideas of real applications and how to use the techniques mentioned. The examples and case studies will be shown using both theory and code.

Condizione: New. pp. 418.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Digital. Condizione: New. Learn the basics of analytics on big data using Java, machine learning and other big data toolsAbout This Book. Acquire real-world set of tools for building enterprise level data science applications. Surpasses the barrier of other languages in data science and learn create useful object-oriented codes. Extensive use of Java compliant big data tools like apache spark, Hadoop, etc.Who This Book Is ForThis book is for Java developers who are looking to perform data analysis in production environment. Those who wish to implement data analysis in their Big data applications will find this book helpful.What You Will Learn. Start from simple analytic tasks on big data. Get into more complex tasks with predictive analytics on big data using machine learning. Learn real time analytic tasks. Understand the concepts with examples and case studies. Prepare and refine data for analysis. Create charts in order to understand the data. See various real-world datasetsIn DetailThis book covers case studies such as sentiment analysis on a tweet dataset, recommendations on a movielens dataset, customer segmentation on an ecommerce dataset, and graph analysis on actual flights dataset.This book is an end-to-end guide to implement analytics on big data with Java. Java is the de facto language for major big data environments, including Hadoop. This book will teach you how to perform analytics on big data with production-friendly Java. This book basically divided into two sections. The first part is an introduction that will help the readers get acquainted with big data environments, whereas the second part will contain a hardcore discussion on all the concepts in analytics on big data. It will take you from data analysis and data visualization to the core concepts and advantages of machine learning, real-life usage of regression and classification using Naive Bayes, a deep discussion on the concepts of clustering,and a review of simple neural networks on big data using deepLearning4j or plain Java Spark code. This book is a must-have book for Java developers who want to start learning big data analytics and want to use it in the real world.Style and approachThe approach of book is to deliver practical learning modules in manageable content. Each chapter is a self-contained unit of a concept in big data analytics. Book will step by step builds the competency in the area of big data analytics. Examples using real world case studies to give ideas of real applications and how to use the techniques mentioned. The examples and case studies will be shown using both theory and code.

Digital. Condizione: New. Learn the basics of analytics on big data using Java, machine learning and other big data toolsAbout This Book. Acquire real-world set of tools for building enterprise level data science applications. Surpasses the barrier of other languages in data science and learn create useful object-oriented codes. Extensive use of Java compliant big data tools like apache spark, Hadoop, etc.Who This Book Is ForThis book is for Java developers who are looking to perform data analysis in production environment. Those who wish to implement data analysis in their Big data applications will find this book helpful.What You Will Learn. Start from simple analytic tasks on big data. Get into more complex tasks with predictive analytics on big data using machine learning. Learn real time analytic tasks. Understand the concepts with examples and case studies. Prepare and refine data for analysis. Create charts in order to understand the data. See various real-world datasetsIn DetailThis book covers case studies such as sentiment analysis on a tweet dataset, recommendations on a movielens dataset, customer segmentation on an ecommerce dataset, and graph analysis on actual flights dataset.This book is an end-to-end guide to implement analytics on big data with Java. Java is the de facto language for major big data environments, including Hadoop. This book will teach you how to perform analytics on big data with production-friendly Java. This book basically divided into two sections. The first part is an introduction that will help the readers get acquainted with big data environments, whereas the second part will contain a hardcore discussion on all the concepts in analytics on big data. It will take you from data analysis and data visualization to the core concepts and advantages of machine learning, real-life usage of regression and classification using Naive Bayes, a deep discussion on the concepts of clustering,and a review of simple neural networks on big data using deepLearning4j or plain Java Spark code. This book is a must-have book for Java developers who want to start learning big data analytics and want to use it in the real world.Style and approachThe approach of book is to deliver practical learning modules in manageable content. Each chapter is a self-contained unit of a concept in big data analytics. Book will step by step builds the competency in the area of big data analytics. Examples using real world case studies to give ideas of real applications and how to use the techniques mentioned. The examples and case studies will be shown using both theory and code.

Paperback. Condizione: new. Paperback. Have you ever thought about why some people are not at rest despite having everything in life? Why some others despite living frugally are more at peace? Are there ways to reduce the noise around us and do things that fulfill the purpose of our lives? If you are repeatedly bothered by such questions, your search ends here. This book is a panacea for self-evaluation, introspection, and taking charge of your life. This book will bring a fresh perspective into various aspects of your living. It will leave you with knowledge of the key areas you need to work on to reduce the noise in your life. The book is about a minimalistic approach to life and focusing on doing more with less. It talks about focusing on the meaningful things in your life and doing away with the things that you do not require or are in a way non-existent for you. It is about forming a relationship with the things we value and depend on. We must retain only things that allow us to live a meaningful and purposeful life. It does not expect you to be a miser and not spend, rather it persuades you to spend on the right and required things. Most importantly, this book will touch on gratitude and its importance. Being thankful for whatever we have got, is very important. We must abstain from accumulating stuff blindly because we can afford it, without realising whether we need it. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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

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

Condizione: New. Print on Demand pp. 418.

Condizione: New. PRINT ON DEMAND pp. 418.

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

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextThis book will start with the basic statistical analysis on big data using java and would then build on other topics on analytics like classification, regression, clustering and ensembling. It would also cover advanced topics .

Taschenbuch. Condizione: Neu. Big Data Analytics with Java | Rajat Mehta | Taschenbuch | Kartoniert / Broschiert | Englisch | 2017 | Packt Publishing | EAN 9781787288980 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book will start with the basic statistical analysis on big data using java and would then build on other topics on analytics like classification, regression, clustering and ensembling. It would also cover advanced topics of recommendation engines, massive graph analytics, real time analytics and deep learning.