Showing titles in Data Science

The Internet of Things is a networked world of connected devices, objects, and people. In this book Samuel Greengard offers a guided tour through this emerging world and how it will change the way we live and work. Greengard explains that the Internet of Things (IoT) is still in its early stages. Smartphones, cloud computing, RFID (radio-frequency identification), technology, sensors, and miniaturization are converging to make possible a new generation of embedded and immersive technology.

In an era defined by the rapid advancement of wireless technologies and the increasing demand for seamless connectivity, Wireless Ad Hoc Networks (WANETs) have emerged as a crucial enabler of communication in a variety of scenarios. These networks, characterized by their dynamic and self-configuring nature, offer a unique solution to connectivity challenges in environments where traditional infrastructure-based networks are impractical or unavailable. This book, "Wireless Ad Hoc Networks: Concepts and Applications," delves into the world of WANETs, exploring their fundamental principles, ...

Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey, this book presents ninety-seven concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data.

Do you want to master machine learning? This guide explains everything you need to know to finally fully understand machine learning and how you can use it to revolutionize your business and give your marketing plan a boost in the right direction. Each section is chockful of information about this branch of artificial intelligence that’s based on the idea that systems can identify patterns, learn from data, and make decisions with minimal human intervention.

In the ever-expanding landscape of data management and analytics, the quest for efficient, scalable, and intelligent solutions has become paramount. As organizations grapple with increasingly large and complex datasets, the need for innovative technologies that can unlock actionable insights and drive informed decision-making has never been greater. In this context, vector databases have emerged as a transformative force, offering a powerful framework for representing, querying, and analyzing high-dimensional data in ways that were previously unimaginable. This book is a culmination of our ...

Smacking some numbers onto a pie chart is old news and simply doesn't work anymore. Keeping your audience inspired and on the edge of their seats through an engaging data story is what we as business professionals should be striving to do. How to Win with Your Data Visualizations uncovers the fundamentals of what makes a winning data presentation and has laid them out in five easy-to-understand parts you can immediately apply to your next chart and presentation to see a winning data story unfold.

Data Science stands at the forefront of innovation in the tech industry, driving profound decisions and revolutionizing the way companies operate. "Ace the Data Science Interview" is your definitive guide to mastering the interview process at the most prestigious tech firms around the globe.

Whether you're a complete novice or a seasoned enthusiast, this comprehensive guide is your ticket to mastering the art of ham radio operation. Go into the rich history and evolution of ham radio, from its early beginnings during World War I to its pivotal role in disaster communications and beyond. Explore the fascinating world of electromagnetic spectrum, transmission modes, and the essential components of a ham radio station.

Mastering Vector Databases: An Artificial Intelligence Lens delves into the sophisticated world of vector databases, offering a comprehensive guide for developers, architects, and system administrators. This book covers the evolution, architecture, and key features of vector databases, alongside advanced indexing, search techniques, and real-time data processing. With a special focus on integrating machine learning and AI, it provides practical insights into cloud deployment, performance optimization, and security practices. Curated with expert insights, this book is an essential resource ...

This book consists of 6 titles, namely: Assembly Language: The Ultimate Guide to Programming and Virtual Machines. Computer Science: The Complete Guide to Principles and Informatics. Cyber Security: Beginners’ Guide to Hacking, Phishing, Social Engineering, and Malware. Databases: System Concepts, Designs, Management, and Implementation. Operating Systems: Concepts to Save Money, Time, and Frustration. Website Development: Web Design Skills for Beginners

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.

Improve your organization’s odds of succeeding with artificial intelligence. Managers struggle to determine whether they have the right people, knowledge, data, and tools to compete in a new business landscape―a landscape revolutionized by AI. Although most leaders ‘hope’ that they have the ‘right stuff’, hope is not a strategy. Organizations must critically assess where they are currently and what gaps they must fill to be competitive in this new environment. Through questionnaires and assessments covering eight critical dimensions, this book will help you build the foundation ...

Databases are structured collections of data that enable efficient retrieval, insertion, updating, and deletion of information. They serve as the foundation for various applications, from simple contact lists to complex enterprise systems. Key concepts include tables, which organize data into rows and columns; relationships, which define connections between tables; and SQL (Structured Query Language), used to interact with databases by querying and manipulating data.

Amazon Web Services in Action introduces you to computing, storing, and networking in the AWS cloud. The audiobook will teach you about the most important services on AWS. You will also learn about best practices regarding security, high availability, and scalability.

Data Lake Architecture will explain how to build a useful data lake where data scientists and data analysts can solve business challenges and identify new business opportunities. Learn how to structure data lakes as well as analog, application, and text-based data ponds to provide maximum business value. Understand the role of the raw data pond and when to use an archival data pond. Leverage the four key ingredients for data lake success: metadata, integration mapping, context, and metaprocess.

In this book, Michael Smith and Rahul Telang, experts on entertainment analytics, show how the success of House of Cards upended the film and TV industries - and how companies like Amazon and Apple are changing the rules in other entertainment industries, notably publishing and music. We're living through a period of unprecedented technological disruption in the entertainment industries.

The data lakehouse is the next generation of the data warehouse and data lake, designed to meet today’s complex and ever-changing modern information systems. This book shows you how to construct your data lakehouse as the foundation for your artificial intelligence (AI), machine learning (ML), and data mesh initiatives. Know the pitfalls and techniques for maximizing business value of your data lakehouse. In addition, be able to explain the core characteristics and critical success factors of a data lakehouse. By reviewing entry errors, key incompatibility, and ensuring good documentation...

Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values, and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits, and identify new business opportunities.

Manage and optimize metadata using Artificial Intelligence (AI) and Machine Learning (ML) through this comprehensive guide on the intricate and pivotal world of data cataloging. The book demystifies the concepts of data cataloging, highlighting its critical role in ensuring that data within organizations is accurate, accessible, and actionable. Jeff meticulously lays out strategies and insights on creating a robust data catalog that manages metadata and uses AI and ML to enhance its usability and reliability. In an era dominated by data-driven decisions, understanding and implementing ...

Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You’ll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data.