Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.

Natural Language Processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret, and emulate written or spoken human language. NLP draws from many disciplines including human-generated linguistic rules, machine learning, and deep learning to fill the gap between human communication and machine understanding. The papers included in this special collection demonstrate how NLP can be used to scale the human act of reading, organizing, and quantifying text data.

Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

SIE Exam Prep 2024-2025: 1,000 Practice Questions with Detailed Answers and Full Explanations, Including 6 Full-Length Practice Exams is the definitive guide for anyone preparing to take the Securities Industry Essentials (SIE) Exam. Whether you're entering the financial industry or looking to expand your credentials, this book is an invaluable resource designed to ensure your success. Comprehensive Coverage of All Exam Topics This book is meticulously structured to cover every aspect of the SIE Exam. It delves into the four major content areas tested by FINRA, including: Knowledge of Capital Markets: Explore the fundamentals of market structure, regulatory frameworks, and economic factors. Understanding Products and Their Risks: Gain deep insights into various financial products, including equity and debt securities, options, and mutual funds, along with the risks associated with each. Understanding Trading, Customer Accounts, and Prohibited Activities: Learn the intricacies of trading processes, account management, and the ethical considerations that govern industry practices. Overview of the Regulatory Framework: Get familiar with the roles and responsibilities of key regulatory bodies like FINRA, SEC, and MSRB, along with compliance and anti-money laundering practices. 1,000 Practice Questions with Detailed Explanations Inside this book, you'll find 1,000 practice questions that are specifically designed to reflect the types of questions you will encounter on the actual SIE Exam. Each question comes with a comprehensive explanation that not only provides the correct answer but also explains why the other options are incorrect. This approach helps reinforce your understanding of the material and ensures that you can apply your knowledge in a variety of scenarios. 6 Full-Length Practice Exams To truly prepare you for the exam day experience, this book includes six full-length practice exams. These exams are structured to mirror the format and timing of the real SIE Exam, providing you with a realistic simulation. Each exam covers the full range of topics and is designed to test your knowledge, timing, and ability to handle the pressure of the actual test. These practice exams are accompanied by detailed answer explanations that allow you to review your performance, identify areas where you need improvement, and refine your test-taking strategies. Expert Study Tips and Exam Strategies In addition to practice questions and exams, this guide offers expert advice on how to approach different types of questions, manage your time effectively, and avoid common pitfalls. You’ll find tips on how to optimize your study sessions, strategies for exam day, and methods to reduce test anxiety, all aimed at helping you perform at your best. Why Choose This Book? Up-to-Date Content: The material in this book is fully aligned with the latest SIE Exam content outline and reflects the most current industry regulations and practices. Comprehensive Preparation: With 1,000 practice questions and six full-length exams, this book offers more practice than most other guides on the market. In-Depth Explanations: The detailed answer explanations ensure that you don’t just memorize answers but understand the concepts behind them. Practical Insights: Beyond just test preparation, the book provides practical insights into the financial industry, making it a valuable resource for your professional journey. Whether you're a first-time test taker or seeking to enhance your knowledge before re-attempting the exam, SIE Exam Prep 2024-2025 is your all-in-one study guide. Equip yourself with the knowledge, confidence, and strategies you need to pass the SIE Exam .

Data-driven experimental analysis has become the main evaluation tool of Natural Language Processing (NLP) algorithms. In fact, in the last decade, it has become rare to see an NLP paper, particularly one that proposes a new algorithm, that does not include extensive experimental analysis, and the number of involved tasks, datasets, domains, and languages is constantly growing. This emphasis on empirical results highlights the role of statistical significance testing in NLP research: If we, as a community, rely on empirical evaluation to validate our hypotheses and reveal the correct language processing mechanisms, we better be sure that our results are not coincidental. The goal of this book is to discuss the main aspects of statistical significance testing in NLP. Our guiding assumption throughout the book is that the basic question NLP researchers and engineers deal with is whether or not one algorithm can be considered better than another one. This question drives the field forward as it allows the constant progress of developing better technology for language processing challenges. In practice, researchers and engineers would like to draw the right conclusion from a limited set of experiments, and this conclusion should hold for other experiments with datasets they do not have at their disposal or that they cannot perform due to limited time and resources. The book hence discusses the opportunities and challenges in using statistical significance testing in NLP, from the point of view of experimental comparison between two algorithms. We cover topics such as choosing an appropriate significance test for the major NLP tasks, dealing with the unique aspects of significance testing for non-convex deep neural networks, accounting for a large number of comparisons between two NLP algorithms in a statistically valid manner (multiple hypothesis testing), and, finally, the unique challenges yielded by the nature of the data and practices of the field.

Demonstrate your Data Science skills by earning the brand-new CompTIA DataX credential In CompTIA DataX Study Guide: Exam DY0-001, data scientist and analytics professor, Fred Nwanganga, delivers a practical, hands-on guide to establishing your credentials as a data science practitioner and succeeding on the CompTIA DataX certification exam. In this book, you'll explore all the domains covered by the new credential, which include key concepts in mathematics and statistics; techniques for modeling, analysis and evaluating outcomes; foundations of machine learning; data science operations and processes; and specialized applications of data science. This up-to-date Study Guide walks you through the new, advanced-level data science certification offered by CompTIA and includes hundreds of practice questions and electronic flashcards that help you to retain and remember the knowledge you need to succeed on the exam and at your next (or current) professional data science role. You'll find: Chapter review questions that validate and measure your readiness for the challenging certification exam Complimentary access to the intuitive Sybex online learning environment, complete with practice questions and a glossary of frequently used industry terminology Material you need to learn and shore up job-critical skills, like data processing and cleaning, machine learning model-selection, and foundational math and modeling concepts Perfect for aspiring and current data science professionals, CompTIA DataX Study Guide is a must-have resource for anyone preparing for the DataX certification exam (DY0-001) and seeking a better, more reliable, and faster way to succeed on the test.

Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective