Data Processing category: 1302 books
Python Data Science Essentials
A practitioner’s guide covering essential data science principles, tools, and techniques, 3rd Edition
Language: English
Release Date: September 28, 2018
Gain useful insights from your data using popular data science tools
Key Features
A one-stop guide to Python libraries such as pandas and NumPy
Comprehensive coverage of data science operations such as data cleaning and data manipulation
Choose scalable learning algorithms for your data science...
by Dusty Phillips, Fabrizio Romano, Phuong Vo.T.H
Language: English
Release Date: April 22, 2016
Language: English
Release Date: April 22, 2016
Unleash the power of Python and its robust data science capabilitiesAbout This BookUnleash the power of Python 3 objectsLearn to use powerful Python libraries for effective data processing and analysisHarness the power of Python to analyze data and create insightful predictive modelsUnlock deeper...
by Frank Kane
Language: English
Release Date: July 31, 2017
Language: English
Release Date: July 31, 2017
This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark.
About This Book
Take your first steps in the world of data science by understanding the tools and techniques of data analysis
Train...
by Magnus Vilhelm Persson, Luiz Felipe Martins
Language: English
Release Date: June 27, 2016
Language: English
Release Date: June 27, 2016
Become an expert at using Python for advanced statistical analysis of data using real-world examples
About This Book
Clean, format, and explore data using graphical and numerical summaries
Leverage the IPython environment to efficiently analyze data with Python
Packed with easy-to-follow examples...
by Ambily
Language: English
Release Date: October 28, 2015
Language: English
Release Date: October 28, 2015
Most of us spend 50-60% of time performing data processing using tools like Office. Most of the data processing processes are never audited or optimized. Unfortunately, most of this work is being done in the most inefficient way. Most of us never spend any time to understand the useful features of...
Automatic Digital Document Processing and Management
Problems, Algorithms and Techniques
Language: English
Release Date: January 3, 2011
This text reviews the issues involved in handling and processing digital documents. Examining the full range of a document’s lifetime, the book covers acquisition, representation, security, pre-processing, layout analysis, understanding, analysis of single components, information extraction, filing,...
Learning Alteryx
A beginner's guide to using Alteryx for self-service analytics and business intelligence
Language: English
Release Date: December 26, 2017
Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platform
Key Features
Experience the power of codeless analytics using Alteryx, a leading Business Intelligence tool
Uncover hidden trends and valuable insights from your data across different...
Access Data Analysis Cookbook
Slicing and Dicing to Find the Results You Need
Language: English
Release Date: May 14, 2007
If you have large quantities of data in a Microsoft Access database, and need to study that data in depth, this book is a data cruncher's dream. Access Data Analysis Cookbook offers practical recipes to solve a variety of common problems that users have with extracting Access data and performing calculations...
by Raja B. Koushik, Sharan Kumar Ravindran
Language: English
Release Date: January 13, 2016
Language: English
Release Date: January 13, 2016
Learn the essence of data science and visualization using R in no time at all
About This Book
Become a pro at making stunning visualizations and dashboards quickly and without hassle
For better decision making in business, apply the R programming language with the help of useful statistical techniques.
From...
by Amit Nandi
Language: English
Release Date: September 8, 2016
Language: English
Release Date: September 8, 2016
A concise guide to implementing Spark Big Data analytics for Python developers, and building a real-time and insightful trend tracker data intensive app
About This Book
Set up real-time streaming and batch data intensive infrastructure using Spark and Python
Deliver insightful visualizations...
Big Data Analytics with Spark
A Practitioner's Guide to Using Spark for Large Scale Data Analysis
Language: English
Release Date: December 29, 2015
Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph,...
by Robert Dempsey
Language: English
Release Date: August 22, 2016
Language: English
Release Date: August 22, 2016
Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions
About This Book
Want to minimize risk and optimize profits of your business? Learn to create efficient analytical reports with ease using this highly...
by Alex Kozlov
Language: English
Release Date: June 27, 2016
Language: English
Release Date: June 27, 2016
Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop
About This Book
This is a primer on functional-programming-style techniques to help you efficiently process and analyze all of your data
Get acquainted with the best and newest...
Data Simplification
Taming Information With Open Source Tools
Language: English
Release Date: March 10, 2016
Data Simplification: Taming Information With Open Source Tools addressesthe simple fact that modern data is too big and complex to analyze in its native form. Data simplification is the process whereby large and complex data is rendered usable. Complex data must be simplified before it can be analyzed,...