Multilingual Entity Linking
This book focuses on Entity Discovery and Linking (EDL), which is the problem of identifying concepts and entities, disambiguating them, and grounding them to one or more knowledge bases (KBs). The authors first provide background on the topic and emphasize why it is a crucial step toward understanding natural language text. As most of the content on the internet is not in English, the book also discusses cross-lingual EDL. The authors present the challenges associated with EDL problems and explain the existing solutions. The book covers the core challenges that apply to all EDL problems, as well as the additional challenges associated with cross-lingual EDL problems. The authors also survey relevant research papers, highlight recent trends, and identify areas for future research.
Sentiment Analysis Unveiled
This book is a comprehensive exploration into the realm of sentiment analysis. From deciphering customer sentiments for businesses to understanding public opinions on social media or predicting market trends, the applications are multifaceted and impactful.Sentiment Analysis Unveiled: Techniques, Applications, and Innovations is more than just algorithms and models; it's about unraveling the emotions, opinions, and perceptions encapsulated within the vast sea of textual data. This book explores topics from opinion mining, social media analysis, deep learning, security concerns, and healthcare systems, and it also delves into the ethical and legal implications of sentiment analysis. Through practical examples, case studies, and discussions on cutting-edge innovations, the editors aim is to provide a holistic view that empowers you to navigate this field confidently. It involves the analysis of user-generated content, deciphering sentiments expressed on platforms like Twitter and Facebook, and provides valuable insights into public opinion, brand perception, and emerging trends in the digital landscape.This book is intended for professionals, researchers, and scientists in the field of artificial intelligence and sentiments analysis; it will serve as a valuable resource for both beginners and experienced professionals in the field.
Natural Language Understanding in Conversational AI with Deep Learning
Natural Language Analytics with Generative Large-Language Models
This book explores the application of generative Large Language Models (LLMs) for extracting and analyzing data from natural language artefacts. Unlike traditional uses of LLMs, such as translation and summarization, this book focuses on utilizing these models to convert unstructured text into data that can be processed through the data science pipeline to generate actionable insights. The content is designed for professionals in diverse fields including cognitive science, linguistics, management, and information systems. It combines insights from both industry and academia to provide a comprehensive understanding of how LLMs can be effectively used for natural language analytics (NLA). The book details practical methodologies for implementing LLMs locally using open-source tools, ensuring data privacy and feasibility without the need for expensive infrastructure. Key topics include interpretant, mindset and cultural analysis, emphasizing the use of LLMs to derive soft data--qualitative information crucial for nuanced decision-making. The text also outlines the technical aspects of LLMs, including their architecture, token embeddings, and the differences between encoder-based and decoder-based models. By providing a case study and practical examples, the authors show how LLMs can be used to meet various analytical needs, making this book a valuable resource for anyone looking to integrate advanced natural language processing techniques into their data analysis workflows.
Computational Intelligence in Communications and Business Analytics
This three-volume set CCIS 2366-2368 constitutes the refereed proceedings of the 6th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2024, held in Patna, India, during January 23-25, 2024. The 82 full papers presented in this volume were carefully reviewed and selected from 249 submissions. Together, these papers showcase cutting-edge research in the fields of computational intelligence and business analytics, covering a broad range of topics.
Computational Intelligence in Communications and Business Analytics
This three-volume set CCIS 2366-2368 constitutes the refereed proceedings of the 6th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2024, held in Patna, India, during January 23-25, 2024. The 82 full papers presented in this volume were carefully reviewed and selected from 249 submissions. Together, these papers showcase cutting-edge research in the fields of computational intelligence and business analytics, covering a broad range of topics.
Computational Intelligence in Communications and Business Analytics
This three-volume set CCIS 2366-2368 constitutes the refereed proceedings of the 6th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2024, held in Patna, India, during January 23-25, 2024. The 82 full papers presented in this volume were carefully reviewed and selected from 249 submissions. Together, these papers showcase cutting-edge research in the fields of computational intelligence and business analytics, covering a broad range of topics.
Event Detection in Time Series
This book is dedicated to exploring and explaining time series event detection in databases. The focus is on events, which are pervasive in time series applications where significant changes in behavior are observed at specific points or time intervals. Event detection is a basic function in surveillance and monitoring systems and has been extensively explored over the years, but this book provides a unified overview of the major types of time series events with which researchers should be familiar: anomalies, change points, and motifs. The book starts with basic concepts of time series and presents a general taxonomy for event detection. This taxonomy includes (i) granularity of events (punctual, contextual, and collective), (ii) general strategies (regression, classification, clustering, model-based), (iii) methods (theory-driven, data-driven), (iv) machine learning processing (supervised, semi-supervised, unsupervised), and (v) data management (ETL process). This taxonomy is weaved throughout chapters dedicated to the specific event types: anomaly detection, change-point, and motif discovery. The book discusses state-of-the-art metric evaluations for event detection methods and also provides a dedicated chapter on online event detection, including the challenges and general approaches (static versus dynamic), including incremental and adaptive learning. This book will be of interested to graduate or undergraduate students of different fields with a basic introduction to data science or data analytics.
Data Literacy with Python
The purpose of this book is to usher readers into the world of data, ensuring a comprehensive understanding of its nuances, intricacies, and complexities. With Python 3 as the primary medium, the book underscores the pivotal role of data in modern industries, and how its adept management can lead to insightful decision-making. The book provides a quick introduction to foundational data-related tasks, priming the readers for more advanced concepts of model training introduced later on. Through detailed, step-by-step Python code examples, the reader will master training models, beginning with the kNN algorithm, and then smoothly transitioning to other classifiers, by tweaking mere lines of code. Tools like Sweetviz, Skimpy, Matplotlib, and Seaborn are introduced, offering readers a hands-on experience in rendering charts and graphs. Companion files with source code and data sets are available by writing to the publisher. FEATURES: Introduces tools like Sweetviz, Skimpy, Matplotlib, and Seaborn offering readers a hands-on experience in rendering charts and graphsCompanion files with numerous Python code samples
Learn Quantum Computing with Python and IBM Quantum - Second Edition
Arabic Language Processing: From Theory to Practice
This two-volume set, CCIS 2339 and CCIS 2340, constitutes the refereed proceedings of the 8th International Conference on Arabic Language Processing, ICALP 2023, held in Rabat, Morocco, during April 19-20, 2024. The 30 full papers and 11 short papers presented in these two volumes were carefully reviewed and selected from 107 submissions. The papers are organized in the following topical sections: Part I: Learning Arabic and dialectal and Sentiment Analysis; Advancements in Deep Learning for Arabic Language Processing: Generation, Translation, and QA. Part II: Linguistic Resources for Arabic NLP; Various analysis of Arabic.
Arabic Language Processing: From Theory to Practice
This two-volume set, CCIS 2339 and CCIS 2340, constitutes the refereed proceedings of the 8th International Conference on Arabic Language Processing, ICALP 2023, held in Rabat, Morocco, during April 19-20, 2024. The 30 full papers and 11 short papers presented in these two volumes were carefully reviewed and selected from 107 submissions. The papers are organized in the following topical sections: Part I: Learning Arabic and dialectal and Sentiment Analysis; Advancements in Deep Learning for Arabic Language Processing: Generation, Translation, and QA. Part II: Linguistic Resources for Arabic NLP; Various analysis of Arabic.
Introduction to PostgreSQL for the data professional.
Adoption and use of PostgreSQL is growing all the time. From mom-and-pop shops to large enterprises, more data is being managed by PostgreSQL. In turn, this means that more data professionals need to learn PostgreSQL even when they have experience with other databases. While the documentation around PostgreSQL is detailed and technically rich, finding a simple, clear path to learning what it is, what it does, and how to use it can be challenging. This book seeks to help with that challenge.We set about giving you all the basics of how to get started within PostgreSQL. From getting your first instance, or cluster, up and running, to backups, to server configurations, we cover all the basics. You'll learn about processing languages, monitoring, indexes and more. Every chapter provides fundamental knowledge and guidance so that you can more easily get started working with PostgreSQL. Getting started with PostgreSQL doesn't have to be a challenge and this book will help.
Database Systems for Advanced Applications. DASFAA 2024 International Workshops
Databases Theory and Applications
This LNCS volume constitutes the referred proceedings of 35th Australasian Database Conference, ADC 2024, held in Gold Coast, QLD, Australia and Tokyo, Japan, during December 16-18, 2024. The 38 full papers included in these proceedings were carefully reviewed and selected from 90 submissions. They focus on latest advancements and innovative applications in database systems, data-driven applications, and data analytics.
Become a Great Data Storyteller
Unlock the power of storytelling with data to create change Become a Great Data Storyteller: Learn How You Can Drive Change with Data is a transformational journey guided by author and researcher Angelica Lo Duca. This insightful guide challenges the conventional approach to data visualization by emphasizing the creation of compelling data stories. With a focus on understanding the audience's needs, this book offers a unique value proposition: teaching you how to weave raw data into engaging, narrative-driven presentations that can significantly impact decision-making and generate organizational change. The author masterfully demonstrates the process of building a data story, from creating relatable characters with clear objectives to tailoring these narratives for specific audiences. You'll discover your role as a narrative guide, learning how to employ the power of context to make your data-driven stories not just informative but captivating. This book sets itself apart by focusing on the human aspect of data storytelling, ensuring your narratives resonate deeply with your audience. In the book, you'll: Learn to craft engaging data narratives that go beyond charts and graphs, making your presentations memorable and impactful Tailor your data stories to meet the specific needs and interests of your audience, enhancing understanding and engagement Position yourself as a pivotal guide in your data stories, using context to turn data into powerful narratives that drive action For anyone looking to elevate their data presentation skills from ordinary to extraordinary, Become a Great Data Storyteller offers the tools and insights you need. Whether you're a professional seeking to influence decision-making or simply passionate about the art of data, this book is your roadmap to becoming an impactful storyteller. Take the first step towards transforming your data into compelling stories that inspire change. Order your copy today and start changing the way you communicate.
Learning AI Tools in Tableau
As businesses increasingly rely on data to drive decisions, the role of advanced analytics and AI in enhancing data interpretation is becoming crucial. For professionals tasked with optimizing data analytics platforms like Tableau, staying ahead of the curve with the latest tools isn't just beneficial--it's essential. This insightful guide takes you through the integration of Tableau Pulse and Einstein Copilot, explaining their roles within the broader Tableau and Salesforce ecosystems. Author Ann Jackson, an esteemed analytics professional with a deep expertise in Tableau, offers a step-by-step exploration of these tools, backed by real-world use cases that demonstrate their impact across various industries. By the end of this book, you will: Understand the functionalities of Tableau Pulse and Einstein Copilot and how to use them Learn to deploy Tableau Pulse effectively, ensuring it aligns with your business objectives Navigate discussions on AI's role within Tableau, enhancing your strategic conversations Visualize how Tableau Pulse operates through detailed images and scenarios Utilize Einstein Copilot in Tableau Desktop/Prep to streamline and enhance data analysis
Grokking Relational Database Design
A friendly illustrated guide to designing and implementing your first database. Grokking Relational Database Design makes the principles of designing relational databases approachable and engaging. Everything in this book is reinforced by hands-on exercises and examples. In Grokking Relational Database Design, you'll learn how to: - Query and create databases using Structured Query Language (SQL) - Design databases from scratch - Implement and optimize database designs - Take advantage of generative AI when designing databases A well-constructed database is easy to understand, query, manage, and scale when your app needs to grow. In Grokking Relational Database Design you'll learn the basics of relational database design including how to name fields and tables, which data to store where, how to eliminate repetition, good practices for data collection and hygiene, and much more. You won't need a computer science degree or in-depth knowledge of programming--the book's practical examples and down-to-earth definitions are beginner-friendly. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Almost every business uses a relational database system. Whether you're a software developer, an analyst creating reports and dashboards, or a business user just trying to pull the latest numbers, it pays to understand how a relational database operates. This friendly, easy-to-follow book guides you from square one through the basics of relational database design. About the book Grokking Relational Database Design introduces the core skills you need to assemble and query tables using SQL. The clear explanations, intuitive illustrations, and hands-on projects make database theory come to life, even if you can't tell a primary key from an inner join. As you go, you'll design, implement, and optimize a database for an e-commerce application and explore how generative AI simplifies the mundane tasks of database designs. What's inside - Define entities and their relationships - Minimize anomalies and redundancy - Use SQL to implement your designs - Security, scalability, and performance About the reader For self-taught programmers, software engineers, data scientists, and business data users. No previous experience with relational databases assumed. About the author Dr. Qiang Hao and Dr. Michail Tsikerdekis are both professors of Computer Science at Western Washington University. Table of Contents Part 1 1 Introducing databases and SQL 2 Related tables and more SQL 3 Overview of database design Part 2 4 Entities and attributes 5 Relationships 6 Normalization and implementation 7 Security and optimization Part 3 8 Database design in the age of generative AI
Deep Learning with Python
In recent years, deep learning has emerged as one of the most transformative fields in technology, with applications spanning from computer vision and natural language processing to self-driving cars and healthcare. Python, with its powerful libraries and ease of use, has become the preferred programming language for deep learning, allowing developers and researchers to experiment, innovate, and scale their projects more effectively. This book, Deep Learning with Python, is crafted to guide readers through the essential concepts, methods, and tools necessary to master deep learning, empowering them to create impactful solutions using Python. This book is designed for anyone interested in learning how to build and deploy deep learning models. We start with the foundational principles, gradually introducing advanced topics such as convolutional and recurrent neural networks. Each chapter is complemented with hands-on examples and clear explanations, making complex concepts accessible without oversimplification. Whether you are a beginner exploring neural networks for the first time, or an experienced programmer expanding your skillset, Deep Learning with Python will serve as a comprehensive resource to deepen your understanding and bring your ideas to life in this exciting field.
Night Vision and Daylight Camera Systems for Wildlife
Only a small proportion of our most interesting wildlife is ever seen. This book describes how wildlife can be filmed in a non-intrusive way without disturbing behaviour. Step-by-step, clearly illustrated details lead the reader past technical challenges and allow many new insights.
Night Vision and Daylight Camera Systems for Wildlife
Only a small proportion of our most interesting wildlife is ever seen. This book describes how wildlife can be filmed in a non-intrusive way without disturbing behaviour. Step-by-step, clearly illustrated details lead the reader past technical challenges and allow many new insights.
The Well-Grounded Data Analyst
Complete eight data science projects that lock in important real world skills-along with a practical process you can use to learn any new technique quickly and efficiently. The Well-Grounded Data Analyst guides you through eight common scenarios you'll encounter as a data scientist or analyst. As you explore each project, you'll also master a proven process for quickly learning new skills developed by author and Half Stack Data Science podcast host David Asboth. In The Well-Grounded Data Analyst you'll learn: - High-value skills to tackle specific analytical problems - Deconstructing problems for faster, practical solutions - Data modeling, PDF data extraction, and categorical data manipulation - Handling vague metrics, deciphering inherited projects, and defining customer records In The Well-Grounded Data Analyst you'll learn how to shift the way you think about data from the structured clean problems you get in a classroom, book, or bootcamp to the messy open-ended challenges of the workplace. As you work through eight problems you'll see over and over on the job, you'll discover a solutions-driven methodology that's focused on getting results. You'll learn how to determine a minimum viable answer for your stakeholders, identify and obtain the data you need to deliver, and reliably present and iterate on your findings. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book The Well-Grounded Data Analyst presents eight industry scenarios that you're sure to encounter in your data science career. The book can be read cover-to-cover, or opened up to whichever chapter is most relevant to your current challenges. You'll explore data modeling by identifying customer records from retail transactions, navigate badly defined metrics, and learn how to extract data from PDFs as you analyze how COVID-19 changed the film industry. Get your hands dirty with categorical data that defies conventional statistical analysis, and unearth hidden patterns in seemingly simple time series data. Plus, you'll learn what to do when you're handed someone else's work to expand on, and how to wow your stakeholders with your presentations. By the time you're done reading and working, you'll have the kind of on-the-job skills it normally takes years to learn--and an amazing portfolio of projects to show off at an interview. About the reader For early-career data scientists. You know the technical basics--this book will teach you how to apply them successfully on the job. About the author David Asboth is a "data generalist", with experience as a freelance consultant, educator, software architect, and more. He co-hosts the Half Stack Data Science podcast about data science in the real world, has spoken at multiple conferences including the Data Science Festival in London, and has taught a variety of data science courses to enterprise students including large banks and consultancies.
Building Tomorrow: Unleashing the Potential of Artificial Intelligence in Construction
Generative AI Essentials
DESCRIPTION Generative AI is changing the way we think about creativity and problem-solving. This book is your go-to guide for understanding and working with this exciting technology. This book offers a clear introduction to generative AI, starting with basics like machine learning and deep learning. It explains key models, including GANs and VAEs, breaking down their architectures and training methods. You will discover how Transformer models like GPT have transformed natural language processing and enabled advancements in language generation. The book explores practical applications such as image synthesis, style transfer, and text generation, showing how generative AI merges technology with creativity. Advanced topics like reinforcement learning, AI ethics, and bias are also covered. Practical tips for creating your own generative AI models, along with insights into the future of this groundbreaking field, making it an essential resource for AI enthusiasts and professionals.By the end of this book, you will have a firm grasp of generative AI concepts and practical skills to get you started. You will be well-prepared to use cloud platforms like AWS, Azure, and GCP to build and launch powerful generative AI projects. From creating realistic images to crafting natural text, you will explore hands-on examples while tackling important ethical questions. This book gives you the skills and confidence to explore the limitless potential of generative AI.WHAT YOU WILL LEARN● Build foundational knowledge of generative AI principles and models.● Apply machine learning and deep learning for creative content generation.● Leverage GANs, VAEs, and Transformer models in real-world scenarios.● Master cloud tools for scalable generative AI development.● Address ethical challenges and implement responsible AI practices.● Explore advanced applications and future directions of generative AI.WHO THIS BOOK IS FORThis book is designed for data scientists, machine learning engineers, software developers, cloud professionals, educators, students, and creative professionals.
Statistics for Data Scientists and Analysts
DESCRIPTION Statistics is a powerful tool for data analysis, visualization, and inference. Python is a popular programming language that offers a rich set of libraries and frameworks for statistical computing. Together, they can help you solve real-world problems and make informed decisions based on data. This book teaches you how to use Python to implement statistical concepts and techniques in a practical and effective way. You will also learn how to perform data science and analysis to generate insights, patterns, and trends.This book introduces the basics of statistics, such as descriptive and inferential statistics, ML, probability distributions, hypothesis testing, and confidence intervals. It also covers advanced topics such as regression analysis, linear algebra, statistical tests, time series, survival, and correlation analysis. You will learn how to identify patterns, interpret data, and make data-driven decisions. The book emphasizes practical learning with examples, exercises, and code snippets using popular Python libraries like NumPy, Pandas, Matplotlib, Seaborn, and SciPy to perform various statistical tasks.By the end of this book, you will have a solid foundation in statistics and Python programming. You will be able to explore, analyze, and visualize data using Python. You will also be able to perform various statistical tests and interpret the results. WHAT YOU WILL LEARN● Master data manipulation, cleaning, and visualization techniques using Python.● Apply core statistical methods to analyze real-world datasets.● Build and evaluate statistical models for regression, classification, and clustering.● Interpret and communicate insights derived from statistical analyses effectively.● Explore advanced statistical techniques like time series and survival analysis.WHO THIS BOOK IS FORThis book is ideal for data scientists, ML engineers, statisticians, Python practitioners, researchers, and anyone who works with data and statistics.
Mastering Microsoft Power BI - Second Edition
Plan, design, develop, and manage robust Power BI solutions to generate meaningful insights and make data-driven decisions.Purchase of the print or Kindle book includes a free eBook in the PDF format.Key FeaturesMaster the latest dashboarding and reporting features of Microsoft Power BICombine data from multiple sources, create stunning visualizations and publish Power BI apps to thousands of usersGet the most out of Microsoft Power BI with real-world use cases and examplesBook DescriptionMastering Microsoft Power BI, Second Edition, provides an advanced understanding of Power BI to get the most out of your data and maximize business intelligence. This updated edition walks through each essential phase and component of Power BI, and explores the latest, most impactful Power BI features. Using best practices and working code examples, you will connect to data sources, shape and enhance source data, and develop analytical data models. You will also learn how to apply custom visuals, implement new DAX commands and paginated SSRS-style reports, manage application workspaces and metadata, and understand how content can be staged and securely distributed via Power BI apps. Furthermore, you will explore top report and interactive dashboard design practices using features such as bookmarks and the Power KPI visual, alongside the latest capabilities of Power BI mobile applications and self-service BI techniques. Additionally, important management and administration topics are covered, including application lifecycle management via Power BI pipelines, the on-premises data gateway, and Power BI Premium capacity. By the end of this Power BI book, you will be confident in creating sustainable and impactful charts, tables, reports, and dashboards with any kind of data using Microsoft Power BI.What you will learnBuild efficient data retrieval and transformation processes with the Power Query M language and dataflowsDesign scalable, user-friendly DirectQuery, import, and composite data modelsCreate basic and advanced DAX measuresAdd ArcGIS Maps to create interesting data storiesBuild pixel-perfect paginated reportsDiscover the capabilities of Power BI mobile applicationsManage and monitor a Power BI environment as a Power BI administratorScale up a Power BI solution for an enterprise via Power BI Premium capacityWho this book is forBusiness Intelligence professionals and intermediate Power BI users looking to master Power BI for all their data visualization and dashboarding needs will find this book useful. An understanding of basic BI concepts is required and some familiarity with Microsoft Power BI will be helpful to make the most out of this book.Table of ContentsPlanning Power BI ProjectsPreparing Data sourcesConnecting to Sources and Transforming Data with MDesigning Import, DirectQuery, and Composite Data ModelsDeveloping DAX Measures and Security RolesPlanning Power BI ReportsCreating and Formatting VisualizationsApplying Advanced AnalyticsDesigning DashboardsManaging Workspaces and ContentManaging the On-Premises Data GatewayDeploying Paginated ReportsCreating Power BI Apps and Content DistributionAdministering Power BI for an OrganizationBuilding Enterprise BI with Power BI Premium
Big Data
In recent years, the application of artificial intelligence and big data analysis has become increasingly common, including in areas related to security and cybersecurity.
Man-Machine Speech Communication
This book constitutes the refereed proceedings of the 19th National Conference on Man-Machine Speech Communication, NCMMSC 2024, held in Urumqi, China, during August 15-18, 2024. The 33 papers included in these proceedings were carefully reviewed and selected from 205 submissions. They deal with topics such as speech technology and large language models, audio processing, prosody modeling and dialogue systems. Key areas include speech recognition, speaker identification and verification, speech/sound/music synthesis, speech enhancement, sound event detection, multimodal systems, conversational AI, phonetics, phonology and prosody analysis, auditory processing, and acoustic scene modeling etc.
