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Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781933820972Author Ms Sarah HortonFormat PaperbackPage Count 288Imprint Rosenfeld MediaPublisher Rosenfeld Media

Relational Database Design and Implementation: Clearly Explained, Fourth Edition, provides the conceptual and practical information necessary to develop a database design and management scheme that ensures data accuracy and user satisfaction while...

DESCRIPTION Any large application needs an efficient way to handle the constant messages passing between components in the system. Billed as "messaging that just works," the RabbitMQ message broker initially appeals to developers because it's...

How the autonomous digital forces jolting our lives - as uncontrollable as the weather and plate tectonics - are transforming life, society, culture, and politics.David Auerbach's exploration of the phenomenon he has identified as the meganet begins with...

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 tricks Key Features * Get well-versed with various data cleaning techniques to reveal key insights * Manipulate...

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...

"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 your machine learning models to scale them to larger training and prediction data sets Key Features * Explore hyperparameter optimization and model management tools * Learn about object-orientated, functional, and user-defined libraries and...

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...

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...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780593087244Author Caleb ScharfFormat HardbackPage Count 352Imprint Riverhead Books,U.S.Publisher Penguin Putnam Inc

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...

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information...

Building distributed applications is difficult enough without having to coordinate the actions that make them work. This practical guide shows how Apache ZooKeeper helps you manage distributed systems, so you can focus mainly on application logic. Even...

A revealing look at how user behavior is powering deep social divisions online-and how we might yet defeat political tribalism on social mediaIn an era of increasing social isolation, platforms like Facebook and Twitter are among the most important tools...

This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore,...

Perform more advanced analysis and manipulation of your data beyond what Power BI can do to unlock valuable insights using Python and RKey FeaturesGet the most out of Python and R with Power BI by implementing non-trivial codeLeverage the toolset of...

Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to...

Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are...

Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo...

Get to grips with solving real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data visualization Key Features Analyze varying complexities of text using popular Python packages such as NLTK, spaCy,...

Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly...

Manipulate and analyze network data with the power of Python and NetworkXKey FeaturesUnderstand the terminology and basic concepts of network scienceLeverage the power of Python and NetworkX to represent data as a networkApply common techniques for...

Finance students and practitioners may ask: can machines learn everything? Could AI help me? Computing students or practitioners may ask: which of my skills could contribute to finance? Where in finance should I pay attention? This book aims to answer...

The fastest, easiest, most comprehensive way to learn Adobe Dreamweaver Classroom in a Book (R), the best-selling series of hands-on software training workbooks, offers what no other book or training program does -- an official training series from...

Digital Audio Forensics Fundamentals offers an accessible introduction to both the theory and practical skills behind this emerging field of forensic science. Beginning with an overview of the history of the discipline, the reader is guided through...

There's a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you'll learn how to build big data infrastructure both...

Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AIKey FeaturesLearn to create an operationally effective advanced analytics team...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789355517036Author Pratheerth PadmanFormat PaperbackPage Count 416Imprint BPB PublicationsPublisher BPB Publications

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262543156Author Alex PentlandFormat PaperbackPage Count 432Imprint MIT PressPublisher MIT Press Ltd

Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x. Key Features This is the first book on pandas 1.x Practical, easy to implement recipes for quick solutions to common problems in data using...

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning-especially deep neural networks-make a real difference in your organization? This hands-on guide...

From facial recognition-capable of checking us onto flights or identifying undocumented residents-to automated decision systems that inform everything from who gets loans to who receives bail, each of us moves through a world determined by data-empowered...

Prepare for the Azure Data Engineering certification-and an exciting new career in analytics-with this must-have study aide In the MCA Microsoft Certified Associate Azure Data Engineer Study Guide: Exam DP-203, accomplished data engineer and tech...

Why a book about logs? That's easy: the humble log is an abstraction that lies at the heart of many systems, from NoSQL databases to cryptocurrencies. Even though most engineers don't think much about them, this short book shows you why logs are worthy...

Rise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much more Key Features Acquire highly sought-after skills of the trade, including Python, SQL,...

It seems that artificial intelligence (AI) is always just five years away, but it never arrives. Recently, however, developments have made the practical utility of game theory a genuine reality. Will sport provide the petri dish in which AI will prove...

Using Scalable Vector Graphics (SVG) for illustrations only scratches the surface of this format's potential on the web. With this practical guide, you'll learn how to use SVG not only for illustrations but also as graphical documents that you can...