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Shiyan Xu: Apache Hudi - The Definitive
Guide

Apache Hudi - The Definitive Guide

Building Robust, Open, and High-Performing Data Lakehouses

A Statistical Guide to Certainty in an Uncertain World

What Are the Odds?

Recommender systems are ubiquitous in modern life and are one of the main monetization channels for Internet technology giants. This book helps graduate students, researchers and practitioners to get to grips with this cutting-edge field and build the thorough understanding and practical skills needed to progress in the area. It not only introduces the applications of deep learning and generative AI for recommendation models, but also focuses on the industry architecture of the recommender systems. The authors include a detailed discussion of the implementation solutions used by companies such as YouTube, Alibaba, Airbnb and Netflix, as well as the related machine learning framework including model serving, model training, feature storage and data stream processing.

Recommender systems are ubiquitous in modern life and are one of the main monetization channels for Internet technology giants. This book helps graduate students, researchers and practitioners to get to grips with this cutting-edge field and build the thorough understanding and practical skills needed to progress in the area. It not only introduces the applications of deep learning and generative AI for recommendation models, but also focuses on the industry architecture of the recommender systems. The authors include a detailed discussion of the implementation solutions used by companies such as YouTube, Alibaba, Airbnb and Netflix, as well as the related machine learning framework including model serving, model training, feature storage and data stream processing.

Deep Learning Recommender Systems

Learn to build a web app that can monitor millions of posts across all social media platforms to chart public opinion in real time. Social media has become our modern-day agora, the place where we get our news and engage in political discourse. With disinformation, hate speech, foreign interference, authoritarianism, market monopolization, and political polarization all on the rise, monitoring social media in the public interest has never been so difficult nor so urgent. Social Media Observatory is an in-depth beginner’s guide to coding full-stack web applications in Python to track and analyze social media activity at scale, giving you unparalleled insights into the cultural and political conversations of our time, then empowering you to reach your own conclusions. You’ll start by coding a web app to monitor Russian disinformation channels discussing Ukraine on Telegram, then learn more adversarial methods to scrape the Wayback Machine, Instagram, and TikTok. You’ll detect Twitter bots following Saudi influencers, extract text-embedded URLs to reveal a white supremacist blogosphere, parse archived tweets to reveal the discourse leading up to the January 6 insurrection, and learn to circumvent Meta's and ByteDance's defenses to scrape Instagram and TikTok, collecting evidence of war crimes in the Middle East. Finally, you’ll write an API and deploy your observatory to a cloud server to collaborate with other investigators. By the end of the book, you’ll have a working website that allows collaborators to log in, request data collection, and perform analysis of collected data, via a point-and-click interface.&nbsp; Along the way, you’ll learn to: <ul><li>Use Python and RabbitMQ to retrieve Telegram data from a remote API</li><li>Store data with PostgreSQL and query it with SQLAlchemy</li><li>Analyze the data you’ve retrieved with Pandas, NetworkX, Gephi, and other tools</li><li>Use state-of-the-art AI tools to transcribe audio and classify text</li><li>Deploy a website with an interactive dashboard using FastAPI, Dash, Cytoscape, Uvicorn, Gunicorn, Nginx, AWS, and Let’s Encrypt</li><li>Containerize your apps with Docker and provision infrastructure with Pulumi</li></ul> Whether you’re a citizen scientist, a security researcher, a journalist, an activist, or a scholar, Social Media Observatory is an essential blueprint for building your window into online worlds.

Learn to build a web app that can monitor millions of posts across all social media platforms to chart public opinion in real time. Social media has become our modern-day agora, the place where we get our news and engage in political discourse. With disinformation, hate speech, foreign interference, authoritarianism, market monopolization, and political polarization all on the rise, monitoring social media in the public interest has never been so difficult nor so urgent. Social Media Observatory is an in-depth beginner’s guide to coding full-stack web applications in Python to track and analyze social media activity at scale, giving you unparalleled insights into the cultural and political conversations of our time, then empowering you to reach your own conclusions. You’ll start by coding a web app to monitor Russian disinformation channels discussing Ukraine on Telegram, then learn more adversarial methods to scrape the Wayback Machine, Instagram, and TikTok. You’ll detect Twitter bots following Saudi influencers, extract text-embedded URLs to reveal a white supremacist blogosphere, parse archived tweets to reveal the discourse leading up to the January 6 insurrection, and learn to circumvent Meta's and ByteDance's defenses to scrape Instagram and TikTok, collecting evidence of war crimes in the Middle East. Finally, you’ll write an API and deploy your observatory to a cloud server to collaborate with other investigators. By the end of the book, you’ll have a working website that allows collaborators to log in, request data collection, and perform analysis of collected data, via a point-and-click interface.&nbsp; Along the way, you’ll learn to: <ul><li>Use Python and RabbitMQ to retrieve Telegram data from a remote API</li><li>Store data with PostgreSQL and query it with SQLAlchemy</li><li>Analyze the data you’ve retrieved with Pandas, NetworkX, Gephi, and other tools</li><li>Use state-of-the-art AI tools to transcribe audio and classify text</li><li>Deploy a website with an interactive dashboard using FastAPI, Dash, Cytoscape, Uvicorn, Gunicorn, Nginx, AWS, and Let’s Encrypt</li><li>Containerize your apps with Docker and provision infrastructure with Pulumi</li></ul> Whether you’re a citizen scientist, a security researcher, a journalist, an activist, or a scholar, Social Media Observatory is an essential blueprint for building your window into online worlds.

Track Disinformation, Spot Bots, and Find Out What's Really Happening

Social Media Exposed

This book provides a comprehensive overview of data security and privacy protection with expert systematic coverage of related topics. It starts with the design of system architecture and key controls under the scope and objectives of data security. Then based on an in-depth analysis of data security risks and challenges, it provides the principles for the regulatory requirements for privacy protection, and implementation, as well as industry best practices.

Moving onto applications in networks, this book expounds on the data security of information technology (IT), telecommunications, the Cloud, and the Internet of Things (IoT). Emerging technologies such as artificial intelligence (AI), blockchain and 5G are in turn examined as the frontier of theoretical and technical development in data security.

This work is a culmination of the author's more than 20 years of experience in the field of cybersecurity and data security. As the chief cybersecurity architect of a large Forbes 500 company, he possesses a comprehensive knowledge of cybersecurity theory enriched by diverse practical experience.

This book is a useful textbook for students of cyberspace security, computer, and information technology majors in colleges and universities. It is also suitable as a reference for practitioners and engineers in information security, cloud computing, and similar disciplines.

Data Security And Privacy Protection: A Comprehensive Guide

A beginner-friendly road map to GIS concepts and tools A fascinating introduction to Geographic Information Systems, GIS For Dummies walks you through the essential skills you'll need to develop to become a geospatial data guru. You'll learn to read, analyze, and interpret maps and how to create engaging maps, automate your GIS, and more. The book explains how technological advances, including AI, are transforming GIS tools into powerful assets for solving real-world problems and helping to save the planet. GIS For Dummies is a great starting point for novices everywhere! Inside... <ul><li>Analyze and interpret data</li><li>Read maps and GIS info</li><li>Explore GIS careers</li><li>Use GIS in your company</li><li>Create digital models</li><li>Interpret geospatial data</li><li>Solve real-world problems</li><li>Visualize the world around you</li></ul>

GIS for Dummies

In an effort to investigate the revolutionary potential of AR and VR technologies in the field of mechanical and medical emergency management, "Virtual Realities, Real Emergencies" was written. This book seeks to educate readers on how augmented and virtual reality (AR/VR) may transform response to emergencies, boost training, and facilitate better decision-making under pressure. It aims to equip professionals and hobbyists alike to use these immersive technologies for saving lives and minimizing calamities by analyzing real-world applications, cutting-edge breakthroughs, and practical insights. The ground-breaking book "Virtual Realities, Real Emergencies: Integrating AR/VR in Mechanical and Medical Crisis Management" has two goals: to teach and to give readers agency in times of crisis. Our goal is to educate both industry experts and casual observers on the revolutionary possibilities of AR and VR in the high-stakes arenas of mechanical and medical emergency response. The gap between theory and practice is something we want to close by providing real-world insights, practical counsel, and examples of achievement. Our goal is to educate the public on the potential life-saving benefits of AR and VR technology, demystify these tools for the general reader, and provide concrete measures for incorporating them into existing emergency response procedures. This book not only celebrates the technological advances that have been accomplished but also calls for more cooperation to ensure that these innovations are implemented in a way that puts people's lives first during emergencies.

Integrating AR/VR in Computing and Medical Crisis Management

Virtual Reality, Real Emergency

Sustainable Supply Chain Management: Computational Approaches and Modelling provides a comprehensive understanding of how computational approaches can be leveraged to address the challenges associated with sustainable supply chain management. It offers insights into emerging and advanced modelling techniques to optimize supply chain operations while considering environmental, social, and economic factors. This book will be a valuable resource for researchers, practitioners, and policymakers interested in understanding and implementing sustainable supply chain management practices through computational approaches and modelling. This book helps researchers understand the opportunities, challenges, and solutions by developing innovative computational tools and techniques to integrate sustainability considerations into supply chain decision-making processes.

Computational Approaches and Modelling

Sustainable Supply Chain Management

Analytics Science to Improve the World

Insight-Driven Problem Solving

This comprehensive compendium explains the technical challenges and opportunities behind the most recent and successful applications in artificial intelligence [AI] and data analytics. It focuses on applications that have the power to be adapted to many different fields and explains how AI can be implemented as an assistant in digital humanities. It also introduces new methods and applications in classification trees, networks, and Bayesian learning.The useful reference text benefits professionals, academics, researchers, and graduate students in AI/machine learning, neural networks, and bioinformatics, and digital humanities.

Probing The Past With Data Analytics And Ai

This book illustrates statistics with the R programming language, an emerging tool in data science. Filled with techniques for data science and analytics programming, the book is written for students and professionals. It is focused on learning outcomes and problem solving.

This book illustrates statistics with the R programming language, an emerging tool in data science. Filled with techniques for data science and analytics programming, the book is written for students and professionals. It is focused on learning outcomes and problem solving.

Demystifying Probability and Statistics for Data Scientists with R

Distributed Computing and Intelligent Data Analytics

Big Data Analytics in Agriculture: Algorithms and Applications focuses on quantitative and qualitative assessment using state-of-the-art technology to provide practical improvements to agricultural production. The book provides a complete mapping-from data generation to storage to curation, processing and implementation/application-to produce high-quality reliable information for decision-making. It follows a logical pathway to demonstrate how data contributes to a converging flow of information towards a decision support system and how it can be transformed into actionable steps. The book develops ideas surrounding a strong integration of ICT and IoT to manage rural assets to deliver improved economic and environmental performance in a spatially and temporarily variable environment.

Algorithms and Applications

Big Data Analytics in Agriculture

Apache Hudi - The Definitive Guide

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