Showing titles in Data Science

Phishing Dark Waters addresses the growing and continuing scourge of phishing emails, and provides actionable defensive techniques and tools to help you steer clear of malicious emails. Phishing is analyzed from the viewpoint of human decision-making and the impact of deliberate influence and manipulation on the recipient. With expert guidance, this book provides insight into the financial, corporate espionage, nation state, and identity theft goals of the attackers, and teaches you how to spot a spoofed e-mail or cloned website.

While you may have never thought of networking in detail, this book will introduce you to the basics of networking, the different types of networks available, the types of network topologies that you will encounter, the concept of server virtualization, and details of how to handle network breaches.

This is a two-book bundle related to C++ programming and data analytics! Two manuscripts for the price of one!

In a world dazzled by digital promise, the profession of Data Science has acquired an almost mythical glow. Headlines celebrate it, industries chase it, and countless seekers imagine that mastery of this field will open a direct path to success. Yet behind this bright aura lies a more intricate reality—one shaped by discipline, ambiguity, intellectual rigor, and the quiet labour of confronting the unknown. This book invites the reader to step beyond the mirage and encounter the craft as it truly is.

Why would a casino try to stop a gambler from losing? How can a mathematical formula find your future spouse? Would you know if statistical analysis blackballed you from a job you wanted? Economist Ian Ayres has spent the better part of his career examining the power in numbers. Decisions used...

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.

Lars Nielsen and Noreen Burlingame provide a brief, understandable, user-friendly guide to all aspects of Data Science. The authors address the various skills required, the key steps in the Data Science process, software technology related to the effective practice of Data Science, and the best rising academic programs for training in the field.

The Sleeping Giant explores the potential of Algorand and the power of staking and compounding in the digital asset economy. In this short, direct book, Carl Aguillard explains how long-term thinking, patience, and disciplined investing can turn a quiet project into a powerful financial opportunity. This is not about hype or speculation. It is about understanding the technology, recognizing long-term potential, and allowing time and compounding to work in your favor.

In Ageless Intelligence, Debra Taylor makes one thing clear: Baby Boomers aren't behind in the AI revolution — they're positioned to lead it. Through personal stories, real-world examples, and practical guidance, this audiobook shows how experience and wisdom become a competitive advantage in an AI-driven world — and how anyone willing to learn can harness these tools to reinvent their career, build new income streams, and stay intellectually sharp.

Every day, there are more than a few billion questions asked on the internet. Some of them are just about business, while others are more personal. Some are simple, while others are tough. All of these queries go to the same place, which is a search engine. With only a few clicks of the mouse, you may get a lot of information. Everything looks great, and it appears to be set up to match your needs.

海外のトップ頭脳も予測した！　最新テクノロジーによる2030年の世界　テクノロジーはどこまで進化するのか？人間は駆逐される？AIって結局、わたしたちにどんな影響を与えるの？

In today's data-driven world, cloud storage is no longer optional—it is the backbone of modern business, government, and digital life. The Complete Guide to Modern Cloud Storage Systems delivers a clear, comprehensive exploration of how cloud storage works, why it matters, and how to design systems that are secure, scalable, and future-ready. This audiobook takes listeners deep into the architecture of modern storage environments—from foundational infrastructure and distributed systems to advanced security protocols, encryption models, redundancy strategies, and compliance frameworks.

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science.

Columbia Business School professor Sandra Matz reveals in fascinating detail how big data offers insights into the most intimate aspects of our psyches and how these insights empower an external influence over the choices we make. This can be creepy, manipulative, and downright harmful, with scandals like that of British consulting firm Cambridge Analytica being merely the tip of the iceberg. Yet big data also holds enormous potential to help us live healthier, happier lives.

Random Acts of Automation dives deep into the hidden consequences of our rapid automation, examining the forces that will reshape the current workforce. This book focuses on real people—fast-food workers, warehouse staff, customer service agents, even lawyers and tech professionals—all facing the impact of automation. In its chapters, you will find practical solutions to your workplace concerns about AI. This isn't just about understanding your current job; it's about seeing where automation will take you and how you can thrive.

Unlock the full potential of your data with the power of Python. Python for Data Science: A Practical Guide to Data Wrangling, Analysis, and Machine Learning Using Python’s Most Powerful Libraries is your comprehensive roadmap to mastering the tools and techniques that turn raw data into meaningful insights and predictive models.

The Data Analytics Advantage is a comprehensive guide that equips listeners with the essential skills to analyze and leverage social media data for strategic decision-making. Combining academic principles with case studies, social media analytics expert Laeeq Khan provides a foundational...

In the age of artificial intelligence, machine learning, and data-driven innovation, the quality and quantity of data have become critical to success. Yet real-world data is often incomplete, biased, sensitive, or scarce. Data Generation explores how synthetic, real, and simulated data can be strategically created and used to overcome these limitations—fueling smarter systems, scalable solutions, and more ethical outcomes.

You probably don’t need a collection of specialty databases. Just use Postgres instead! Written for application developers and database pros, “Just Use Postgres!” shows you how to get the most out of the powerful Postgres database.

How to Build an Agent is not a book about experimenting with AI. It is a practical playbook for leaders who need AI systems that work in the real world. Most organisations use generative AI. Few see meaningful business results. This book explains why. Written for executives, senior managers, consultants, and technical leaders, it shows how to move beyond chatbots and prompts to autonomous, outcome-driven AI systems that plan, act, integrate with enterprise software, and deliver measurable ROI.