Showing results for "Data Algorithms" in Business & Careers

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory but made accessible through numerous real-world examples - ready for immediate application to your next graph or presentation.

There are two remarkable phenomena that are unfolding almost simultaneously. The first is the emergence of a data-first world, where data has become a central driving force, shaping industries and fueling innovation. The second is the dawn of the AI age, propelled by the advent of Generative AI...

Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.

The digital revolution is here. It's changing how work gets done, how industries are structured, and how people from all walks of life work, behave and relate to each other. To thrive in a world driven by data and powered by algorithms, we must learn to see, think, and act in new ways. With the digital mindset, you can ask the right questions, make smart decisions and appreciate new possibilities for a digital future. Leaders who adopt these approaches will be able to develop their organization's talent to prepare their company for successful and continued digital transformation.

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.

In our age of accelerating progress in so many fields, it’s easy to lose sight of the underlying innovation that makes the data analytics revolution possible. These 24 lectures introduce you to the key concepts, methods, and accomplishments of this versatile approach to problem solving. You need no expertise in mathematics to follow this exciting story. Tim Chartier, professor of mathematics and computer science, explains the basic computational techniques used in data analytics, but his focus is on how these ideas are applied and the amazing results they achieve.

How organizations can deliver significant performance gains through strategic investment in marketing.

What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Drawing upon real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created.

Silicon Valley’s leading intellectual and the founder of O’Reilly Media explores the upside and the potential downsides of our future—what he calls the ""next economy."" Tim O’Reilly’s genius is to identify and explain emerging technologies with world shaking potential—the World Wide...

Steve Lohr, a technology reporter for the New York Times, chronicles the rise of Big Data, addressing cutting-edge business strategies and examining the dark side of a data-driven world. Coal, iron ore, and oil were the key productive assets that fueled the Industrial Revolution. Today, Data is...

How to keep your intuition and human instinct intact in our current technological era. Businesses are constantly moving into uncharted territory as they determine how to navigate an increasingly digital future effectively. But the startling and often overlooked truth is that the promise of...

Insights for financial services leaders who want to enhance fairness and accuracy in their use of data, algorithms, and AI. Each episode explores challenges and solutions related to algorithmic integrity, including discussions on navigating independent audits. The goal of this podcast is to give leaders the knowledge they need to ensure their data practices benefit customers and other stakeholders, reducing the potential for harm and upholding industry standards.