Data Science and Analytics Strategy, Awati, Kailash

Автор: Bremer Martina, Doerge Rebecca W.
Название: Using R at the Bench: Step-By-Step Data Analytics for Biologists
ISBN: 1621821129 ISBN-13(EAN): 9781621821120
Издательство: Неизвестно
Рейтинг:
Цена: 102690.00 T
Наличие на складе: Невозможна поставка.
Описание: Using R at the Bench: Step-by-Step Data Analytics for Biologists is a convenient bench-side handbook for biologists, designed as a handy reference guide for elementary and intermediate statistical analyses using the free/public software package known as R. The expectations for biologists to
have a more complete understanding of statistics are growing rapidly. New technologies and new areas of science, such as microarrays, next-generation sequencing, and proteomics, have dramatically increased the need for quantitative reasoning among biologists when designing experiments and
interpreting results. Even the most routine informatics tools rely on statistical assumptions and methods that need to be appreciated if the scientific results are to be correct, understood, and exploited fully.

Although the original Statistics at the Bench is still available for sale and has all examples in Excel, this new book uses the same text and examples in R. A new chapter introduces the basics of R: where to download, how to get started, and some basic commands and resources. There is also a new
chapter that explains how to analyze next-generation sequencing data using R (specifically, RNA-Seq). R is powerful statistical software with many specialized packages for biological applications and Using R at the Bench: Step-by-Step Data Analytics for Biologists is an excellent resource for those
biologists who want to learn R. This handbook for working scientists provides a simple refresher for those who have forgotten what they once knew and an overview for those wishing to use more quantitative reasoning in their research. Statistical methods, as well as guidelines for the interpretation
of results, are explained using simple examples. Throughout the book, examples are accompanied by detailed R commands for easy reference.

Автор: Shinde, Gitanjali Rahul (department Of Computer Engineering, Stes`s, Smt. Kashibai Navale College Of Engineering, Pune, India) Kalamkar, Asmita Balasa
Название: Data analytics for coronavirus disease (covid-19) outbreak
ISBN: 0367558467 ISBN-13(EAN): 9780367558468
Издательство: Taylor&Francis
Рейтинг:
Цена: 58170.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The focus of this book is data analytics for COVID-19 which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussion on data models, their performance, different Big data techniques, tools and technologies.

Автор: Skillicorn, David B.
Название: Cyberspace, data analytics, and policing
ISBN: 036764276X ISBN-13(EAN): 9780367642761
Издательство: Taylor&Francis
Рейтинг:
Цена: 68390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cyberspace, Data Analytics, and Policing surveys the changes that cyberspace has brought to criminality and to policing with enough technical content to expose the issues and suggest ways in which law enforcement organizations can adapt.

Автор: Burk, Scott , Miner, Gary
Название: It`s All Analytics!
ISBN: 0367359685 ISBN-13(EAN): 9780367359683
Издательство: Taylor&Francis
Рейтинг:
Цена: 60220.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject.

Автор: Perros, Harry G.
Название: An Introduction to IoT Analytics
ISBN: 0367686317 ISBN-13(EAN): 9780367686314
Издательство: Taylor&Francis
Рейтинг:
Цена: 48990.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers techniques that can be used to analyze data from IoT sensors and also addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so that one can learn how to apply these tools in practice with a good understanding of their inner workings.

Автор: Pani Subhendu Kumar, Tripathy Somanath, Jandieri George
Название: Applications of Machine Learning in Big-Data Analytics and Cloud Computing
ISBN: 8770221820 ISBN-13(EAN): 9788770221825
Издательство: Taylor&Francis
Рейтинг:
Цена: 99010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to opportunities and transformation in various areas such as healthcare, enterprises, industrial manufacturing and transportation. New Cloud Computing and Big Data tools endow researchers and analysts with novel techniques and opportunities to collect, manage and analyze the vast quantities of data.

Название: Data Analytics in Marketing, Entrepreneurship, and Innovation
ISBN: 0367184834 ISBN-13(EAN): 9780367184834
Издательство: Taylor&Francis
Рейтинг:
Цена: 91860.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focusing on important aspects of analytics that facilitate innovation, promote entrepreneurship, and improve marketing efficiency and effectiveness, this book provides researchers and business practitioners insight on the techniques, tools, models, and cases of data analytics in the broad areas of innovation, entrepreneurship, and marketing.

Автор: Paczkowski, Walter R.
Название: Deep Data Analytics for New Product Development
ISBN: 0367077752 ISBN-13(EAN): 9780367077754
Издательство: Taylor&Francis
Рейтинг:
Цена: 148010.00 T
Наличие на складе: Невозможна поставка.
Описание: This book presents and develops the deep data analytics for providing the information needed for successful new product development.

Автор: Murugan Anandarajan; Chelsey Hill; Thomas Nolan
Название: Practical Text Analytics
ISBN: 3030070808 ISBN-13(EAN): 9783030070809
Издательство: Springer
Рейтинг:
Цена: 55890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field. Using text analytics, organizations can derive insights from content such as emails, documents, and social media. Practical Text Analytics is divided into five parts. The first part introduces text analytics, discusses the relationship with content analysis, and provides a general overview of text mining methodology. In the second part, the authors discuss the practice of text analytics, including data preparation and the overall planning process. The third part covers text analytics techniques such as cluster analysis, topic models, and machine learning. In the fourth part of the book, readers learn about techniques used to communicate insights from text analysis, including data storytelling. The final part of Practical Text Analytics offers examples of the application of software programs for text analytics, enabling readers to mine their own text data to uncover information.

Автор: Anupam Chattopadhyay; Chip Hong Chang; Hao Yu
Название: Emerging Technology and Architecture for Big-data Analytics
ISBN: 3319548395 ISBN-13(EAN): 9783319548395
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I State-of-the-Art Architectures and Automation for Data-analytics.- Chapter 1. Scaling the Java Virtual Machine on a Many-core System.- Chapter 2.Scaling the Java Virtual Machine on a Many-core System.- Chapter 3.Least-squares based Machine Learning Accelerator for Big-data Analytics in Smart Buildings.- Chapter 4.Compute-in-memory Architecture for Data-Intensive Kernels.- Chapter 5. New Solutions for Cross-Layer System-Level and High-Level Synthesis.- Part II New Solutions for Cross-Layer System-Level and High-Level Synthesis.- Chapter 6.Side Channel Attacks and Efficient Countermeasures on Residue Number System Multipliers.- Chapter 7. Ultra-Low-Power Biomedical Circuit Design and Optimization: Catching The Don't Cares.- Chapter 8.Acceleration of MapReduce Framework on a Multicore Processor.- Chapter 9. Adaptive dynamic range compression for improving envelope-based speech perception: Implications for cochlear implants.- Part III Emerging Technology, Circuits and Systems for Data-analytics.- Chapter 10. Emerging Technology, Circuits and Systems for Data-analytics.- Chapter 11. Energy Efficient Spiking Neural Network Design with RRAM Devices.- Chapter 12. Efficient Neuromorphic Systems and Emerging Technologies - Prospects and Perspectives.- Chapter 13. In-memory Data Compression Using ReRAMs.- Chapter 14. In-memory Data Compression Using ReRAMs.- Chapter 15.Data Analytics in Quantum Paradigm - An Introduction.

Автор: Verma, Rakesh M. (university Of Houston, Texas, Usa) Marchette, David J. (naval Surface Warfare Center, Dahlgren, Virginia, Usa)
Название: Cybersecurity analytics
ISBN: 036734601X ISBN-13(EAN): 9780367346010
Издательство: Taylor&Francis
Рейтинг:
Цена: 122490.00 T
Наличие на складе: Нет в наличии.
Описание: This book organizes in one place the mathematics, probability, statistics and machine learning information that is required for a practitioner of cybersecurity analytics, as well as the basics of cybersecurity needed for a practitioner.

Автор: Wolfgang Karl H?rdle; Henry Horng-Shing Lu; Xiaoto
Название: Handbook of Big Data Analytics
ISBN: 3030132382 ISBN-13(EAN): 9783030132385
Издательство: Springer
Рейтинг:
Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics.