Catalog Search Results
Series
Publisher
ISTE Ltd
Pub. Date
2022.
Language
English
Description
The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering. This book is a collective work by a number of leading scientists,...
Author
Publisher
Apress
Pub. Date
[2017]
Language
English
Description
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Data Science in R details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and...
Series
Publisher
ISTE Ltd
Pub. Date
2022.
Language
English
Description
The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering. This book is a collective work by a number of leading scientists,...
Author
Publisher
Apress
Pub. Date
[2022]
Language
English
Description
Get up to speed on the application of machine learning approaches in macroeconomic research. This book brings together economics and data science. Author Tshepo Chris Nokeri begins by introducing you to covariance analysis, correlation analysis, cross-validation, hyperparameter optimization, regression analysis, and residual analysis. In addition, he presents an approach to contend with multi-collinearity. He then debunks a time series model recognized...
Series
Publisher
ISTE
Pub. Date
2020.
Language
English
Description
Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is self-evident. New publications are appearing, covering the need for information from all fields of science...
Author
Publisher
Packt Publishing
Pub. Date
2024.
Language
English
Description
Transform your data into insights with must-know techniques and mathematical concepts to unravel the secrets hidden within your data Key Features Learn practical data science combined with data theory to gain maximum insights from data Discover methods for deploying actionable machine learning pipelines while mitigating biases in data and models Explore actionable case studies to put your new skills to use immediately Purchase of the print or Kindle...
Author
Publisher
John Wiley & Sons, Inc
Pub. Date
[2020]
Language
English
Description
"Avoiding Data Pitfalls is a useful resource that points out common data viz. mistakes so that users can avoid making them and notice them when they are made by others. Working with data is so common now, but the vast majority of "data workers" were trained in another technical field like engineering or science. Most were not explicitly taught how to successfully work with today's tools and the types of data at their disposal. This book will provide...
Author
Publisher
Routledge
Pub. Date
2024.
Language
English
Description
"Management Research: Applying the Principles of Business Research Methods supports new researchers on every step of the research journey, from defining a project to communicating its findings, as well as balancing the technical aspects of research with the management of the project itself. Structured around the key stages of a research project, the text reflects the richness and diversity of current business and management research, both in its presentation...
Author
Publisher
Gallup Press
Pub. Date
2022.
Language
English
Description
Unhappiness has been increasing globally for a decade, according to Gallup -- and its rise has been missed by almost every world leader. That's because while leaders pay close attention to measures like GDP or unemployment, almost none of them track their citizens' wellbeing. The implications of this blind spot are significant and far-reaching -- leaders missed the citizen unhappiness that triggered events ranging from the Arab uprisings to Brexit...
Author
Publisher
John Wiley & Sons, Inc
Pub. Date
2019.
Language
English
Description
This book is about constructing models from experimental data. It covers a range of topics, from statistical data prediction to Kalman filtering, from black-box model identification to parameter estimation, from spectral analysis to predictive control. Written for graduate students, this textbook offers an approach that has proven successful throughout the many years during which its author has taught these topics at his University. The book: -Contains...
Author
Publisher
O'Reilly Media
Pub. Date
2018.
Language
English
Description
In this book, you'll find 54 hands-on descriptions that help you DO the key methods used in service design. These methods include instructions, guidelines, and tips-and-tricks for activities within research, ideation, prototyping, and facilitation. This is the print version of the method companion to the book This Is Service Design Doing (#TiSDD). It includes the same content that you can find free on the book website, tisdd.com, but nicely revisualized...
Author
Publisher
Wiley
Pub. Date
[2024]
Language
English
Formats
Description
"In How to Become a Data Analyst: My Low-Cost, No Code Roadmap for Breaking into Tech, data analyst and analytics consultant Annie Nelson walks you through how she took the reins and made a dramatic career change to unlock new levels of career fulfilment and enjoyment. In the book, she talks about the adaptability, curiosity, and persistence you'll need to break free from the 9-5 grind and how data analytics-with its wide variety of skills, roles,...
Series
Publisher
John Wiley & Sons, Incorporated
Pub. Date
2024
Language
English
Description
The book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. The chapters of this collaborative work represent a cross-section of current research interests in the above scientific areas. The collected material has been...
Author
Publisher
Packt Publishing, Limited
Pub. Date
2022
Language
English
Description
Perform time series analysis using KNIME Analytics Platform, covering both statistical methods and machine learning-based methods Key Features Gain a solid understanding of time series analysis and its applications using KNIME Learn how to apply popular statistical and machine learning time series analysis techniques Integrate other tools such as Spark, H2O, and Keras with KNIME within the same application Book Description This book will take you...
Author
Publisher
Wiley-ISTE
Pub. Date
2019.
Language
English
Description
This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression...
Author
Language
English
Formats
Description
"Covers how to secure and authenticate datasets and safely communicate with sources; Python programming basics for data science investigations; security concepts, like disk encryption; how to work with data in EML, MBOX, JSON, CSV, and SQL formats; and tricks for using the command-line interface to explore datasets packed with secrets"--
Author
Publisher
Prometheus Books
Pub. Date
2019.
Language
English
Description
Big data is often touted as the key to understanding almost every aspect of contemporary life. This critique of "information hubris" shows that even more important than data is finding the right metrics to evaluate it. The author, an expert in environmental design and city planning, examines the many ways in which we measure ourselves and our world. He dissects the metrics we apply to health, worker productivity, our children's education, the quality...
Author
Publisher
Apress
Pub. Date
[2019]
Language
English
Description
Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization's custom monitoring requirements. This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data movement and the connectivity capability...
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