Showing titles in Data Science

Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications.

Unlock predictable bottom line growth through tailored data and AI strategies. In The Data & AI Imperative: Designing Strategies for Exponential Growth, celebrated data-driven growth leader, Lillian Pierson, delivers a masterclass in developing custom strategies to harness the full potential of...

As data continues to grow and become more complex, organizations seek innovative solutions to manage their data effectively. Data mesh is one solution that provides a new approach to managing data in complex organizations. This practical guide offers step-by-step guidance on how to implement data mesh in your organization.

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.

Microsoft Power Platform for Dummies covers the essentials you need to know to get started with Microsoft Power Platform, the suite of business intelligence applications designed to make your enterprise work smarter and more efficiently.

Master practical data analysis and turn messy spreadsheets into confident business decisions to accelerate career growth. Whether tackling a daunting project or upskilling on your morning commute, this accessible audio experience removes the intimidation from numbers. Escape abstract theory and...

Master practical data analytics and transform messy information into confident decision making without complex coding. Whether you are upskilling on your morning commute to secure a promotion or optimizing personal finances, this empowering guide breaks down technical barriers. Learn to frame...

Master data analytics and transform your tech career trajectory without writing any complex code. Perfect for your daily commute, this accessible audio experience breaks down enormous information systems into simple, everyday concepts. Build instant data literacy and stay competitive in a...

Why would a casino try and stop you from losing? How can a mathematical formula find your future spouse? Would you know if a statistical analysis blackballed you from a job you wanted? Today, number crunching affects your life in ways you might never imagine. In this lively and groundbreaking...

Transform confusing spreadsheets into compelling data storytelling that drives decisions and accelerates career growth. Whether you are prepping for a critical boardroom presentation or upskilling during your morning commute, this empowering guide demystifies professional communication. Stop...

“Andrew Blum plunges into the unseen but real ether of the Internet in a journey both compelling and profound….You will never open an email in quite the same way again.” —Tom Vanderbilt, New York Times bestselling author of Traffic In Tubes, Andrew Blum, a correspondent at Wired magazine...

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.

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.

直感や感情に依存する不確実なトレードから脱却し、データ主導のアルゴリズム取引で堅実な自動売買システムを構築するための実践的なロードマップ。通勤電車の中やデスクでの作業中など、一人静かに知性を研ぎ澄ま...

Transforma el caos de tu arquitectura de datos en una plataforma escalable que impulse el crecimiento de tu empresa. Cuando los sistemas iniciales se desbordan frente al éxito comercial, necesitas estrategias pragmáticas para rediseñar la integración técnica y retomar el control absoluto...

Are you concerned about your home network activities? Wondering if your private financial activities online are exposed? Could you have a virus in your home router watching everything you do? In this short guidebook, you'll learn the important steps you need know about securing your home network...

This new edition - more than 50 percent new and revised - is a significant update from the previous one and reveals how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics, such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.

Radio 4's Book of the Week A Financial Times Book of the Year Shortlisted for the 2020 Financial Times / McKinsey Business Book of the Year Longlisted for the National Book Award 'The story of the original data science hucksters of the 1960s is hilarious, scathing and sobering - what you might...

An expert on China’s global infrastructure expansion provides an urgent look at the battle to connect and control tomorrow’s networks. From the ocean floor to outer space, China’s Digital Silk Road aims to wire the world and rewrite the global order. Taking readers on a journey inside...

This audiobook is narrated by an AI Voice. Imagine making decisions not by gut feeling – but because the data tells you so. You spot trends before they emerge. And you use the flood of information as a tool, not a threat. That is exactly what Big Data enables. Not a technical monster. But a...