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2019-09-11 03:00:19
分析报告:大数据分析
本文是由 The Data Warehousing Institute 撰写的报告,其中很好地阐述了最新的大数据分析工具和技术。
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分析报告:大数据分析 本文是由 The Data Warehousing Institute 撰写的报告,其中很好地阐述了最新的大数据分析工具和技术。 相关下载链接://download.csdn.net/download/bolice888888/8208135?utm_source=bbsseo
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Data
.Science.and.
Big
.
Data
.
Analytics
Data
Science and
Big
Data
Analytics
is about harnessing the power of
data
for new insights. The book covers the breadth of activities and methods and tools that
Data
Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a
data
science team Deploy a structured lifecycle approach to
data
analytics
problems Apply appropriate analytic techniques and tools to analyzing
big
data
Learn how to tell a compelling story with
data
to drive business action Prepare for EMC Proven Professional
Data
Science Certification Corresponding
data
sets are available at www.wiley.com/go/9781118876138. Get started discovering, analyzing, visualizing, and presenting
data
in a meaningful way today! Table of Contents Chapter 1 Introduction to
Big
Data
Analytics
Chapter 2
Data
Analytics
Lifecycle Chapter 3 Review of Basic
Data
Analytic Methods Using R Chapter 4 Advanced Analytical Theory and Methods: Clustering Chapter 5 Advanced Analytical Theory and Methods: Association Rules Chapter 6 Advanced Analytical Theory and Methods: Regression Chapter 7 Advanced Analytical Theory and Methods: Classification Chapter 8 Advanced Analytical Theory and Methods: Time Series Analysis Chapter 9 Advanced Analytical Theory and Methods: Text Analysis Chapter 10 Advanced
Analytics
—Technology and Tools: MapReduce and Hadoop Chapter 11 Advanced
Analytics
—Technology and Tools: In-
Data
base
Analytics
Chapter 12 The Endgame, or Putting It All Together
Big
Data
Analytics
Big
Data
Analytics
- A handy reference guide for
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analysts and
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scientists to help to obtain value from
big
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using Spark on Hadoop clusters
Creating Value with
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Making Smarter Marketing Decisions
Creating Value with
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Making Smarter Marketing Decisions
Big
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with Spark PDF
Big
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Analytics
Spark
Big
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Analytics
with Java
Big
Data
Analytics
with Java:
Data
analysis, visualization & machine learning techniques By 作者: Rajat Mehta ISBN-10 书号: 1787288986 ISBN-13 书号:: 9781787288980 Release Finelybook 出版日期: 2017-07-31 pages 页数: (418 ) $49.99 Book Description to Finelybook sorting This book covers case studies such as sentiment analysis on a tweet
data
set, recommendations on a movielens
data
set, customer segmentation on an ecommerce
data
set, and graph analysis on actual flights
data
set. 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 Naïve 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.http://finelybook.com/
big
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