Catalog Search Results
Author
Pub. Date
[2019]
Language
English
Description
Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis, build data visualizations with ggplot, and create custom R packages and web-based interactive visualizations with Shiny. In addition, you will cover common data analysis tasks including importing data...
Author
Language
English
Formats
Description
"Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all--IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python...
Author
Pub. Date
2005.
Language
English
Description
Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now...
Author
Pub. Date
2009.
Language
English
Description
Perform Contracting Successfully! This master reference - in its Fifth Edition - contains everything you need to know about government pricing rules and regulations in one easy-to-use volume. Guide to Contract Pricing: Cost and Price Analysis for Contractors, Subcontractors, and Government Agencies, Fifth Edition, explains how the government conducts business and walks you through every step of the contracting process. This fully updated edition includes...
Author
Pub. Date
2016.
Language
English
Description
Organizations across the business spectrum are awakening to the transformative power of data and analytics. They are also coming to grips with the daunting difficulty of the task that lies before them. It's tough enough for many organizations to catalog and categorize the data at their disposal and devise the rules and processes for using it. It's even tougher to translate that data into tangible value. But it's not impossible, and many organizations,...
Author
Pub. Date
2016.
Language
English
Description
How well prepared is your organization to innovate, using data science? In this report, two leading data scientists at the consulting firm Booz Allen Hamilton describe ten characteristics of a mature data science capability. After spending years helping clients such as the US government and commercial organizations worldwide build innovative data science capabilities, Peter Guerra and Dr. Kirk Borne identified these characteristics to help you measure...
Author
Pub. Date
2021
Language
English
Description
Take advantage of the sky-high demand for data engineers today. With this in-depth book, current and aspiring engineers will learn powerful, real-world best practices for managing data big and small. Contributors from Google, Microsoft, IBM, Facebook, Databricks, and GitHub share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey from MIT Open Learning, this book presents...
Author
Pub. Date
2014.
Language
English
Description
For most companies, pricing has always been a sensitive, private affair. This article is directed at managers who seek to profit from product differentiation and take maximum advantage of their ability to stand out. Instead of leaving good money on the table and struggling to convert product differentiation into revenue, the authors argue, companies should consider enlisting the pricing help of their customers. Outsourcing pricing isn't an all-or-nothing...
Author
Pub. Date
2014
Language
English
Description
This new business analytics case study challenges readers to project trends and plan capacity for a fast-growing craft beer operation, so it can make the best possible decisions about expensive investments in brewing capacity. Crystallizing realistic analytical challenges faced by companies in many industries and markets, it exposes readers to the entire decision-making process, providing opportunities to perform analyses, interpret output, and recommend...
Author
Pub. Date
[2020]
Language
English
Description
Discover the capabilities and features of SAP Analytics Cloud to draw actionable insights from a variety of data, as well as the functionality that enables you to meet typical business challenges. With this book, you will work with SAC and enable key decision makers within your enterprise to deliver crucial business decisions driven by data and key performance indicators. Along the way you'll see how SAP has built a strong repertoire of analytics...
Pub. Date
2016.
Language
English
Description
Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors-all highly experienced with text mining and open-source software-explain how text data are gathered and processed from a w.
Author
Pub. Date
[2014]
Language
English
Description
Praise for the First Edition
"...a well-written book on data analysis and data mining that provides an excellent foundation..."
-CHOICE
"This is a must-read book for learning practical statistics and data analysis..."
-Computing Reviews.com
A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that are...
Pub. Date
©2011
Language
English
Description
"Does information really want to be free? While the Internet is full of open data, there's plenty of data that companies are willing to pay handsomely for - particularly if it's timely and well aggregated. As a result, data marketplaces are a burgeoning business. This panel will look at the market for data, and where it's headed."--Resource description page.
16) Data bootcamp
Author
Pub. Date
©2011
Language
English
Description
"This tutorial offers a basic introduction to practicing data science. We'll walk through several typical projects that range from conceptualization to acquiring data, to analyzing and visualizing it, to drawing conclusions."--Resource description page.
Author
Pub. Date
2017.
Language
English
Description
Turn your noisy data into relevant, insight-ready information by leveraging the data wrangling techniques in Python and R About This Book This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way Work with different types of datasets, and reshape the layout of your data to make it easier for analysis Get simple examples and real-life data wrangling solutions for data pre-processing Who This Book...
Author
Pub. Date
2016.
Language
English
Description
In this episode of the O'Reilly Data Show, Ben Lorica speaks with one of Strata + Hadoop World's most popular teachers--Duncan Ross, data and analytics director at TES Global. In his long career in data, Ross has seen several stages of the evolution of tools, techniques, and training programs, and along the way he has interacted with business managers in many countries and regions. In keeping with his wide-ranging interests, Ben and Duncan discuss...
Author
Series
Pub. Date
2014.
Language
English
Description
The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before. This book provides the tools needed to thrive in today's big data world. The author demonstrates how to leverage...
Author
Language
English
Formats
Description
“In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it. You'll learn how to: Think statistically and understand the role variation plays in your life and decision making. Speak intelligently and ask the right...
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