Data Science

This textbook covers the entire Business Process Management (BPM) lifecycle, from process identification to process monitoring, covering along the way process modelling, analysis, redesign and automation. Concepts, methods and tools from business...

This textbook introduces the vast array of features and powerful mathematical functions of Mathematica using a multitude of clearly presented examples and worked-out problems. Each section starts with a description of a new topic and some basic examples...

RenderMan has long been associated with top-end film production and is an essential tool for creating many of the effects and images in recent animated films (such as Monsters, Inc., Finding Nemo and The Incredibles). RenderMan is widely available and,...

Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystemKey FeaturesGet to grips with building faster and more robust deep learning...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781913709013Author Michael TobinFormat HardbackPage Count 256Imprint Michael TobinPublisher Michael Tobin

Artificial Intelligence for Business: A Roadmap for Getting Started with AI will provide the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology. It will first help with the identification of...

A beginner's guide to storing, managing, and analyzing data with the updated features of Elastic 7.0Key FeaturesGain access to new features and updates introduced in Elastic Stack 7.0Grasp the fundamentals of Elastic Stack including Elasticsearch,...

Mikhail Zhilkin, a data scientist who has worked on projects ranging from Candy Crush games to Premier League football players' physical performance, shares his strong views on some of the best and, more importantly, worst practices in data analytics and...

Advanced Customer Analytics provides a clear guide to the specific analytical challenges faced by the retail sector. The book covers the nature and scale of data obtained in transactions, relative proximity to the consumer and the need to monitor...

Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous...

A practical, step-by-step guide to using Microsoft's AutoML technology on the Azure Machine Learning service for developers and data scientists working with the Python programming languageKey FeaturesCreate, deploy, productionalize, and scale automated...

Microsoft Azure has over 20 platform-as-a-service (PaaS) offerings that can act in support of a big data analytics solution. So which one is right for your project? This practical book helps you understand the breadth of Azure services by organizing them...

Refer to this invaluable how-to guide for basic training on Salesforce Lightning. Salespeople and technical users and consultants will no longer have to resort to learning the interface on their own, which is very time consuming. Learn Salesforce...

Unleash the power and flexibility of the Bayesian framework About This Book * Simplify the Bayes process for solving complex statistical problems using Python; * Tutorial guide that will take the you through the journey of Bayesian analysis with...

Acquire and analyze data from all corners of the social web with Python About This Book * Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide * Use this easy-to-follow, step-by-step...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781735365244Author Alberto FerrariFormat HardbackPage Count 818Imprint Sqlbi Corp.Publisher Sqlbi Corp.Weight(grams) 1601gDimensions(mm) 235mm * 191mm * 43mm

Save time analyzing volumes of data using best practices to extract, model, and create insights from your dataKey FeaturesMaster best practices in data modeling with Tableau Prep Builder and Tableau DesktopApply Tableau Server and Cloud to create and...

New insight in many scientific and engineering fields is unthinkable without the use of numerical simulations running efficiently on modern computers. The faster we get new results, the bigger and accurate are the problems that we can solve. It is the...

Uncover the power of artificial neural networks by implementing them through R code. About This Book * Develop a strong background in neural networks with R, to implement them in your applications * Build smart systems using the power of deep...

Although MySQL's source code is open in the sense of being publicly available, it's essentially closed to you if you don't understand it. In this book, Sasha Pachev - a former member of the MySQL Development Team - provides a comprehensive tour of MySQL...

The Black Book of Quantum Chromodynamics is an in-depth introduction to the particle physics of current and future experiments at particle accelerators. The book offers the reader an overview of practically all aspects of the strong interaction necessary...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781953329608Author Carlos Andre Reis PinheiroFormat PaperbackPage Count 170Imprint SAS InstitutePublisher SAS InstituteWeight(grams) 304gDimensions(mm)...

Reverse mathematics studies the complexity of proving mathematical theorems and solving mathematical problems. Typical questions include: Can we prove this result without first proving that one? Can a computer solve this problem? A highly active part of...

Unlock the full potential of reinforcement learning (RL), a crucial subfield of Artificial Intelligence, with this comprehensive guide. This book provides a deep dive into RL's core concepts, mathematics, and practical algorithms, helping you to develop...

Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use. About This Book *...

Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets About This Book * Get started with BigQuery API and write custom applications using it * Learn how BigQuery API can be used for storing, managing,...

Learn Azure's cloud capabilities with the help of this introductory guide to employing Azure for your cloud infrastructure needs.Key FeaturesGet a clear overview of Azure's capabilities and benefits, and learn how to get started efficientlyDevelop the...

Data is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. Add Elixir,...

Leverage the full potential of SAS to get unique, actionable insights from your dataKey FeaturesBuild enterprise-class data solutions using SAS and become well-versed in SAS programmingWork with different data structures, and run SQL queries to...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9783903331167Author Steven CooperFormat PaperbackPage Count 220Imprint Data SciencePublisher Data ScienceWeight(grams) 330gDimensions(mm) 229mm * 152mm * 13mm

The Data Journalism Handbook: Towards a Critical Data Practice provides a rich and panoramic introduction to data journalism, combining both critical reflection and practical insight. It offers a diverse collection of perspectives on how data journalism...

More organizations than ever understand the importance of data lake architectures for deriving value from their data. Building a robust, scalable, and performant data lake remains a complex proposition, however, with a buffet of tools and options that...

In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging - and beautiful - working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging...

This book is meant as a textbook for undergraduate and graduate students who are willing to understand essential elements of machine learning from both a theoretical and a practical perspective. The choice of the topics in the book is made based on one...

This illuminating textbook provides a concise review of the core concepts in mathematics essential to computer scientists. Emphasis is placed on the practical computing applications enabled by seemingly abstract mathematical ideas, presented within their...

Explore the different data mining techniques using the libraries and packages offered by PythonKey FeaturesGrasp the basics of data loading, cleaning, analysis, and visualizationUse the popular Python libraries such as NumPy, pandas, matplotlib, and...

Develop robust data pipelines, deploy mature machine learning models, and build secure data apps with Snowflake Snowpark using Python Key Features Get to grips with Snowflake Snowpark's basic and advanced features Implement workloads in domains...

This is an essential how-to guide on the application of structural equation modeling (SEM) techniques with the AMOS software, focusing on the practical applications of both simple and advanced topics.Written in an easy-to-understand conversational style,...

AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating models and running...

Best practices and invaluable advice from world-renowned data warehouse experts In this book, leading data warehouse experts from the Kimball Group share best practices for using the upcoming "Business Intelligence release" of SQL Server, referred to as...