General

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...

Upgrade your programming language to more effectively handle high-frequency data Machine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database and q...

Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key Features Use powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial data Explore unique recipes for financial data...

Get to grips with pandas-a versatile and high-performance Python library for data manipulation, analysis, and discoveryKey FeaturesPerform efficient data analysis and manipulation tasks using pandasApply pandas to different real-world domains using...

This book describes process mining use cases and business impact along the value chain, from corporate to local applications, representing the state of the art in domain know-how. Providing a set of industrial case studies and best practices, it...

Collect and scrape different complexities of data from the modern Web using the latest tools, best practices, and techniques Key Features Learn different scraping techniques using a range of Python libraries such as Scrapy and Beautiful Soup ...

Migrate your data to Salesforce and build low-maintenance and high-performing data integrations to get the most out of Salesforce and make it a "go-to" place for all your organization's customer information.When companies choose to roll out Salesforce,...

Whether you're an Azure veteran or just getting started, get the most out of your data with effective recipes for Azure SynapseKey FeaturesDiscover new techniques for using Azure Synapse, regardless of your level of expertiseIntegrate Azure Synapse with...

The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, Second Edition, you'll learn to take advantage of Spark's core features and incredible...

Full of practical advice and real-world examples, this step-by-step guide offers you an accessible introduction to doing quantitative social research using Microsoft Excel. About the AuthorCharlotte Brookfield is a senior lecturer of social sciences...

Master the booting procedure of various operating systems with in-depth analysis of bootloaders and firmware. The primary focus is on the Linux booting procedure along with other popular operating systems such as Windows and Unix. Hands-on Booting...

Take a problem-solving approach to learning all about transformers and get up and running in no time by implementing methodologies that will build the future of NLP Key Features Explore quick prototyping with up-to-date Python libraries to create...

As PDF continues to become the mandated standard for digital documents around the world, developers are frequently looking to build new tools (or improve existing ones) for creating or consuming these documents. This book will provide those developers...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262543217Author Cecilia AragonFormat PaperbackPage Count 200Imprint MIT PressPublisher MIT Press Ltd

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot...

After years of anticipation and delay, the W3C finally released the XSLT 2.0 standard in January 2007. The revised edition of this classic book offers practical, real-world examples that demonstrate how you can apply XSLT style sheets to XML data using...

Conduct data-driven marketing research and analysis with hands-on examples using Python by leveraging open-source tools and libraries Key Features Analyze marketing data using proper statistical techniques Use data modeling and analytics to...

Build efficient forecasting models using traditional time series models and machine learning algorithms.Key FeaturesPerform time series analysis and forecasting using R packages such as Forecast and h2oDevelop models and find patterns to create...

This book bridges the gap between knowledge management and technology. It embraces the complete lifecycle of knowledge, information, and data from how knowledge flows through an organization to how end users want to handle it and experience it. Whether...

Learn how to solve practical NLP problems with the Flair Python framework, train sequence labeling models, work with text classifiers and word embeddings, and much more through hands-on practical exercisesKey FeaturesBacked by the community and written...

In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to...

With this practical book, you will learn proven methods for anonymizing health data to help your organization share meaningful datasets, without exposing patient identity. Leading experts Khaled El Emam and Luk Arbuckle walk you through a risk-based...

Troubleshoot query performance issues, identify anti-patterns in code, and write efficient T-SQL queries Key Features Discover T-SQL functionalities and services that help you interact with relational databases Understand the roles, tasks, and...

Create cutting-edge, real-world NLP applications with the help of BERT and its variants such as ALBERT, RoBERTa, and DistilBERT Key Features * Explore the encoder and decoder of the transformer model in detail * Get well-versed with BERT along with its...

Get up to speed with the new features added to Microsoft SQL Server 2019 Analysis Services and create models to support your businessKey FeaturesExplore tips and tricks to design, develop, and optimize end-to-end data analytics solutions using...

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality...

Use this hands-on guide to build powerful solutions on the Salesforce platform without using a single line of code. This revised and expanded second edition includes Process Builder, Flow Builder, Lightning App Builder, Lightning Bolt Solutions, and more...

The tenth EFNIL conference investigated the different ways in which people in Europe access lexical information - both in their own language and in other languages - and how governments, language institutions, publishers, and others go about the business...

As more companies go digital and conduct their business online, this book provides practical examples of how companies can better manage their data and use it to generate maximum value. This book offers an integrated approach by treating data as an asset...

Master cutting-edge Generative AI techniques like RAG to unlock the potential of your data, driving innovation and strategic advantage. Key Features Optimize data retrieval and generation with vector databases Boost decision-making and automate workflows...

Explore the updated edition with new chapters on LLMs, Temporal Graphs, and updated Pytorch Geometric examples to enhance your data science skills. Key Features Master new graph ML techniques with updated Pytorch Geometric examples Explore case...

One service mathematics has rendered the tEL moi, ...si j'avait su comment en revenir. je n'y serais point alle'.' human race. It has put common sense back Jules Verne where it belongs, on the topmost shelf next to the dusty canister labelled 'discarded...

This book offers the latest research on formation of modern workers in the context of digitalization: from constant improvement of new training technologies to growing requirements for employees in workplace, as well as an assessment of specialists'...

The emergence of intelligent technologies, sophisticated natural language processing methodologies and huge textual repositories, invites a new approach for the challenge of automatically identifying personality dimensions through the analysis of textual...

This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented...

This two-volume set constitutes the proceedings of the 22nd International Conference on Web Information Systems Engineering, WISE 2021, held in Melbourne, VIC, Australia, in October 2021.The 55 full, 29 short and 5 demo papers, plus 2 tutorials were...

At the intersection of astronautics, computer science, and social science, this book introduces the challenges and insights associated with computer simulation of human society in outer space, and of the dynamics of terrestrial enthusiasm for space...

Starting with an introduction to the numerous features of Mathematica (R), this book continues with more complex material. It provides the reader with lots of examples and illustrations of how the benefits of Mathematica (R) can be used. Composed of...

This book constitutes the proceedings of the 15th International Conference on Research Challenges in Information Sciences, RCIS 2021, which was planned to take place in Limassol, Cyprus, but had to change to an online event due to the COVID-19 pandemic...

Spatial Data Science will show GIS scientists and practitioners how to add and use new analytical methods from data science in their existing GIS platforms. By explaining how the spatial domain can provide many of the building blocks, it's critical for...