Master the art of building analytical models using R
About This Book
Load, wrangle, and analyze your data using the world's most powerful statistical programming language
Build and customize public……続きを見る
Create interactive cross-platform reports and dashboards using SQL Server 2016 Reporting ServicesKey Features\[\*\] Get up to speed with the newly-introduced enhancements and the more advanced query……続きを見る
著者:Osvaldo Martin
出版社: Packt Publishing
発売日: 2016年11月25日
Unleash the power and flexibility of the Bayesian frameworkKey FeaturesSimplify the Bayes process for solving complex statistical problems using Python;Tutorial guide that will take the you through ……続きを見る
Design, implement, and publish custom Splunk applications by following best practicesKey Features\[\*\] This is the most up-to-date guide on the market and will help you finish your tasks faster, ea……続きを見る
Over 140 practical recipes to help you make sense of your data with ease and build production-ready data appsKey FeaturesAnalyze Big Data sets, create attractive visualizations, and manipulate and p……続きを見る
Learn how to create more powerful data mining applications with this comprehensive Python guide to advance data analytics techniquesKey Features\[\*\] Dive deeper into data mining with Python – don’……続きを見る
Explore the world of data science from scratch with Julia by your sideKey Features\[\*\] An in-depth exploration of Julia's growing ecosystem of packages\[\*\] Work with the most powerful open-sourc……続きを見る
著者:Godfrey C Onwubolu
出版社: World Scientific Publishing Company
発売日: 2016年06月14日
Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support co……続きを見る
Unlock the power of your data with Hadoop 2.X ecosystem and its data warehousing techniques across large data sets
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Conquer the mountain of data using Hadoop 2.X tools
The authors su……続きを見る
Leverage benefits of machine learning techniques using Python
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Improve and optimise machine learning systems using effective strategies.
Develop a strategy to deal with a large amoun……続きを見る
著者:Derek Wilson
出版社: Packt Publishing
発売日: 2017年01月30日
Expert tabular modeling techniques for building and deploying cutting-edge business analytical reporting solutionsKey Features\[\*\] Build and deploy Tabular Model projects from relational data sour……続きを見る
Examine the techniques and Java tools supporting the growing field of data scienceKey FeaturesYour entry ticket to the world of data science with the stability and power of JavaExplore, analyse, and……続きを見る
Ensure your code is sleek, efficient and elegant by mastering powerful Python design patterns
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Learn all about abstract design patterns and how to implement them in Python 3
Understa……続きを見る
Create enthralling Android games with Unity Faster Than Ever BeforeKey Features\[\*\] Develop complex Android games with the help of Unity's advanced features such as artificial intelligence, high-e……続きを見る
Become an efficient data science practitioner by understanding Python\\'s key conceptsKey Features\[\*\] Quickly get familiar with data science using Python 3.5\[\*\] Save time (and effort) with all……続きを見る
Design Databases with Oracle SQL Developer Data Modeler
In this practical guide, Oracle ACE Director Heli Helskyaho explains the process of database design using Oracle SQL Developer Data Modelerーt……続きを見る
Pattern Analysis and cluster mapping made easyKey Features\[\*\] Analyze patterns, clusters, and spatial relationships using ArcGIS tools\[\*\] Get up to speed in R programming to create custom tool……続きを見る
While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data……続きを見る
For many organizations, Hadoop is the first step for dealing with massive amounts of data. The next step? Processing and analyzing datasets with the Apache Pig scripting platform. With Pig, you can ……続きを見る
Learn to solve challenging data science problems by building powerful machine learning models using Python
About This Book
Understand which algorithms to use in a given context with the help of thi……続きを見る
Master the intricacies of Tableau to create effective data visualizationsKey FeaturesArm yourself with an arsenal of advanced chart types and geocoding to efficiently and engagingly present informat……続きを見る
Over 70 practical recipes to analyze multi-dimensional data in SQL Server 2016 Analysis Services cubesKey Features\[\*\]Updated for SQL Server 2016, this book helps you take advantage of the new MDX……続きを見る
This book addresses computationally-efficient multi-objective optimization of antenna structures using variable-fidelity electromagnetic simulations, surrogate modeling techniques, and design space ……続きを見る
Learn how to apply functional F\# design patterns to a huge range of programming challenges, and discover a smart route to building better applicationsKey Features\[\*\] This book provides a path if……続きを見る
Break through the hype and learn how to extract actionable intelligence from the flood of IoT dataKey FeaturesMake better business decisions and acquire greater control of your IoT infrastructureLea……続きを見る
Create beautiful data visualizations and interactive dashboards with Tableau Key Features\[\*\] Delve into the features and functionalities of Tableau from the ground up with this step-by-step guide……続きを見る
An example-rich, comprehensive guide for all of your Python computational needsKey Features\[\*\] Your ultimate resource for getting up and running with Python numerical computations\[\*\] Explore n……続きを見る
From data to actionable business insights using Amazon QuickSight!Key Features\[\*\] A practical hands-on guide to improving your business with the power of BI and Quicksight\[\*\] Immerse yourself ……続きを見る
Learn how to apply powerful data analysis techniques with popular open source Python modulesKey Features\[\*\]Find, manipulate, and analyze your data using the Python 3.5 libraries\[\*\]Perform adva……続きを見る
著者:Dipayan Dev
出版社: Packt Publishing
発売日: 2017年02月20日
Build, implement and scale distributed deep learning models for large-scale datasets Key FeaturesGet to grips with the deep learning concepts and set up Hadoop to put them to useImplement and parall……続きを見る