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Matplotlib 2.x By Example
Multi-dimensional charts, graphs, and plots in Python
2017
EN
Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x Key FeaturesCreate and customize live graphs, by adding style, color, font to make appealing graphs.A complete guide with insightful use cases and examples to perform data visualizations with Matplotlib's extensive toolkits.Create timestamp data visualizations on 2D and 3D graphs in form of plots, histogram, bar charts, scatterplots and more.
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- by
- DJ Patil
2011
EN
As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success.Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn dat...
Learning Qlik Sense®: The Official Guide
Get the most out of your Qlik Sense investment with the latest insight and guidance direct from the Qlik Sense team
2015
EN
Get the most out of your Qlik Sense investment with the latest insight and guidance direct from the Qlik Sense teamKey FeaturesUpdated with new coverage on Qlik Cloud, Qlik Sense Modeling, and Extending the Qlik Analytic Platform.Get insider insight on Qlik Sense and its new approach to business intelligenceExplore practical demonstrations for utilizing Qlik Sense to discover data for sales, human resources, and moreBook Descripti...
R in a Nutshell
A Desktop Quick Reference
2012
EN
If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports.Updated for R 2.14 and 2.15, this second edition includes...
2014
EN
If you are interested in creating maps for the web GIS data, this book is for you. Familiarity with D3.js will be helpful but is not necessary.
2014
EN
If you are a software developer working with data visualizations and want to build complex data visualizations, this book is for you. Basic knowledge of D3 framework is expected. With real-world examples, you will learn how to structure your applications to create enterprise-level charts and interactive dashboards.
2013
EN
Los ejercicios de este libro tienen un enfoque de tutorial paso a paso y en los que al mismo tiempo se van presentando mejores practicas de desarrollo. El libro esta estructurado de forma que puede ser leido de inicio a fin o leer solamente partes del mismo.Este libro va dirigido a desarrolladores y usuarios que quieren aprender a crear aplicaciones de Inteligencia de Negocios con QlikView. Desarrolladores que ya hayan usado QlikView por un tiempo podran encontrar recomendaciones utiles y ...
Learning TensorFlow
A Guide to Building Deep Learning Systems
2017
EN
Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.Authors Tom Hope, Yehezkel Resheff, and Itay Lieder provide a hands-on approach...
2017
EN
Understand, evaluate, and visualize dataAbout This BookLearn basic steps of data analysis and how to use Python and its packagesA step-by-step guide to predictive modeling including tips, tricks, and best practicesEffectively visualize a broad set of analyzed data and generate effective resultsWho This Book Is ForThis book is for Python Developers who are keen to get into data analysis and wish to visuali...
2014
EN
Do you want to broaden your Hadoop skill set and take your knowledge to the next level? Do you wish to enhance your knowledge of Hadoop to solve challenging data processing problems? Are your Hadoop jobs, Pig scripts, or Hive queries not working as fast as you intend? Are you looking to understand the benefits of upgrading Hadoop? If the answer is yes to any of these, this book is for you. It assumes novice-level familiarity with Hadoop.
Advanced Splunk
Master the art of getting the maximum out of your machine data using Splunk
2016
EN
Master the art of getting the maximum out of your machine data using SplunkKey Features\[\*\] A practical and comprehensive guide to the advanced functions of Splunk,, including the new features of Splunk 6.3\[\*\] Develop and manage your own Splunk apps for greater insight from your machine data\[\*\] Full coverage of high-level Splunk techniques including advanced searches, manipulations, and visualizationBook DescriptionMa...
Mastering Predictive Analytics with R
Master the craft of predictive modeling by developing strategy, intuition, and a solid foundation in essential concepts
2015
EN
Key FeaturesBook DescriptionThis book is intended for the budding data scientist, predictive modeler, or quantitative analyst with only a basic exposure to R and statistics. It is also designed to be a reference for experienced professionals wanting to brush up on the details of a particular type of predictive model. Mastering Predictive Analytics with R assumes familiarity with only the fundamentals of R, such as the main data types, simple functions,...











