Data Science

The only data visualization book written by and for health and healthcare professionals. In health and healthcare, data and information are coming at organizations faster than they can consume and interpret it. Health providers, payers, public health...

This book serves as an introduction to the science and applications of Large Language Models (LLMs). You'll discover the common thread that drives some of the most revolutionary recent applications of artificial intelligence (AI): from conversational...

A comprehensive history of data visualization-its origins, rise, and effects on the ways we think about and solve problems.With complex information everywhere, graphics have become indispensable to our daily lives. Navigation apps show real-time,...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781777005467Author Andriy BurkovFormat HardbackPage Count 310Imprint True Positive Inc.Publisher True Positive Inc.Weight(grams) 934gDimensions(mm) 235mm *...

The ultimate guide to data visualization and information design for business.Making good charts is a must-have skill for managers today. The vast amount of data that drives business isn't useful if you can't communicate the valuable ideas contained in...

Understand the fundamentals of Kubernetes deployment on Azure with a learn-by-doing approachKey FeaturesGet to grips with the fundamentals of containers and KubernetesDeploy containerized applications using the Kubernetes platformLearn how you can scale...

Making Enterprise Information Management (EIM) Work for Business: A Guide to Understanding Information as an Asset provides a comprehensive discussion of EIM. It endeavors to explain information asset management and place it into a pragmatic, focused,...

Leverage Python source code to revolutionize your short selling strategy and to consistently make profits in bull, bear, and sideways marketsKey FeaturesUnderstand techniques such as trend following, mean reversion, position sizing, and risk management...

A practical guide to getting the most out of Excel, using it for data preparation, applying machine learning models (including cloud services) and understanding the outcome of the data analysis.Key FeaturesUse Microsoft's product Excel to build advanced...

A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricingInvestors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781733046107Author Teo LachevFormat PaperbackPage Count 222Imprint PrologikaPublisher PrologikaWeight(grams) 390gDimensions(mm) 235mm * 191mm * 12mm

This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy. A common misconception is that great data scientists are experts in the "big themes" of the...

Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enables data teams to gain greater visibility of data and its usage. If you're a data engineer, data architect, or machine...

The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of...

Unlock the full potential of your data by mastering the art of cleaning, preparing, and transforming data with Power BI for smarter insights and data visualizations Key Features Implement best practices for connecting, preparing, cleaning, and...

Take your machine learning expertise to the next level with this essential guide, utilizing libraries like imbalanced-learn, PyTorch, scikit-learn, pandas, and NumPy to maximize model performance and tackle imbalanced data Key Features Understand...

Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying the package development philosophy used in the package known as...

Manage and work with business data effectively by learning data modeling techniques and leveraging the latest features of Power BIKey FeaturesUnderstand data modeling techniques to get the best out of data using Power BIDefine the relationships between...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781647482671Author Neil WilkinsFormat PaperbackPage Count 226Imprint Bravex PublicationsPublisher Bravex PublicationsWeight(grams) 336gDimensions(mm) 229mm...

If you understand the basics of HTML5, CSS, and JavaScript and want to make quick sense of the extensive but often overwhelming reference documentation on D3.js, this short book is for you. Philipp K. Janert, author of Data Analysis with Open Source...

As everyday tasks grow more confusing, and as social and global problems grow more complex, the information designer's role in bringing clarity has reached a new level of importance. In order to have a positive impact, they must go beyond conventional...

Discover how to describe your data in detail, identify data issues, and find out how to solve them using commonly used techniques and tips and tricksKey FeaturesGet well-versed with various data cleaning techniques to reveal key insightsManipulate data...

Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platform About This Book * Experience the power of codeless analytics using Alteryx, a leading Business Intelligence tool * Uncover hidden...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781634622950Author Steve HobermanFormat PaperbackPage Count 198Imprint Technics PublicationsPublisher Technics PublicationsWeight(grams) 272gDimensions(mm)...

The continued and dramatic rise in the size of data sets has meant that new methods are required to model and analyze them. This timely account introduces topological data analysis (TDA), a method for modeling data by geometric objects, namely graphs and...

"Digital Video and Audio Broadcasting Technology - A Practical Engineering Guide" deals with all the most important digital television, sound radio and multimedia standards such as MPEG, DVB, DVD, DAB, ATSC, T-DMB, DMB-T, DRM and ISDB-T. The book...

Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll...

Solve real-world business problems by learning how to create common industry key performance indicators and other calculations using DAX within Microsoft products such as Power BI, SQL Server, and Excel.Key FeaturesLearn to write sophisticated DAX...

Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environments Key Features Explore hyperparameter optimization and model management tools Learn object-oriented...

Use the Elastic Stack for search, security, and observability-related use cases while working with large amounts of data on-premise and on the cloudKey FeaturesLearn the core components of the Elastic Stack and how they work togetherBuild search...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780971732117Author Howard B DemuthFormat PaperbackPage Count 802Imprint Martin HaganPublisher Martin HaganWeight(grams) 1352gDimensions(mm) 235mm * 191mm *...

Build, design, and improve advanced business intelligence solutions using Tableau's latest features, including Tableau Prep Builder, Tableau Hyper, and Tableau Server Key Features Master new features in Tableau 2021 to solve real-world analytics...

Propose a new scalable data architecture paradigm, Data Lakehouse, that addresses the limitations of current data architecture patternsKey FeaturesUnderstand how data is ingested, stored, served, governed, and secured for enabling data analyticsExplore a...

Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questionsKey FeaturesImplement solutions to 50 real-world computer vision applications using PyTorchUnderstand...

This book shows how to do systems thinking and translate that thinking into praxis (theory informed practical action). It will be welcomed by those managing or governing in situations of complexity and uncertainty across all domains of professional and...

Wring more out of the data with a scientific approach to analysis Graph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how...

Drive value and insight by developing business critical applications with QlikView 12 About This Book * Develop your own scalable and maintainable QlikView applications * Learn time-saving techniques for making your QlikView development more...

Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to "Head First Data Analysis", where you'll quickly learn how to collect and organize...

Unleash the full potential of Microsoft Excel's latest version and elevate your data-driven prowess with this comprehensive resource Key Features Create robust and automated dashboards in Excel for M365 Apply data visualization principles and...

Organize, plan, and build an exceptional data analytics team within your organization In Minding the Machines: Building and Leading Data Science and Analytics Teams, AI and analytics strategy expert Jeremy Adamson delivers an accessible and insightful...