The Data Science Path
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Big Data
Author: Viktor Mayer-Schonberger
language: en
Publisher: Hachette UK
Release Date: 2013-03-14
New and expanded edition. An International Bestseller - Over One Million Copies Sold! Shortlisted for the Financial Times/Goldman Sachs Business Book of the Year Award. Since Aristotle, we have fought to understand the causes behind everything. But this ideology is fading. In the age of big data, we can crunch an incomprehensible amount of information, providing us with invaluable insights about the what rather than the why. We're just starting to reap the benefits: tracking vital signs to foresee deadly infections, predicting building fires, anticipating the best moment to buy a plane ticket, seeing inflation in real time and monitoring social media in order to identify trends. But there is a dark side to big data. Will it be machines, rather than people, that make the decisions? How do you regulate an algorithm? What will happen to privacy? Will individuals be punished for acts they have yet to commit? In this groundbreaking and fascinating book, two of the world's most-respected data experts reveal the reality of a big data world and outline clear and actionable steps that will equip the reader with the tools needed for this next phase of human evolution.
Data Mining Cookbook
Increase profits and reduce costs by utilizing this collection of models of the most commonly asked data mining questions In order to find new ways to improve customer sales and support, and as well as manage risk, business managers must be able to mine company databases. This book provides a step-by-step guide to creating and implementing models of the most commonly asked data mining questions. Readers will learn how to prepare data to mine, and develop accurate data mining questions. The author, who has over ten years of data mining experience, also provides actual tested models of specific data mining questions for marketing, sales, customer service and retention, and risk management. A CD-ROM, sold separately, provides these models for reader use.
The Data Science Path
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-07-14
In the rapidly evolving world of data, "The Data Science Path" emerges as an invaluable guide for aspiring data scientists, business professionals, and anyone seeking to harness the power of data. This comprehensive book provides a structured and accessible roadmap to understanding the fundamentals of data science, empowering you to transform raw data into actionable insights. Embark on a journey through the chapters of this book, and you will: * Gain a solid foundation in the principles and methodologies that underpin data science, enabling you to approach data-driven problems with confidence. * Master the art of data wrangling, learning how to effectively organize, clean, and prepare data for analysis, ensuring its integrity and reliability. * Explore a wide range of data visualization techniques, gaining the ability to communicate complex data insights clearly and persuasively, making them accessible to both technical and non-technical audiences. * Delve into the realm of machine learning algorithms, both supervised and unsupervised, discovering how to build predictive models and extract meaningful patterns from data, unlocking its hidden potential. * Learn about the latest advancements and best practices in data science, staying at the forefront of this dynamic field and gaining the skills necessary to thrive in the data-driven economy. With its comprehensive coverage of essential topics, coupled with real-world examples, hands-on exercises, and thought-provoking case studies, "The Data Science Path" is your indispensable companion on the journey to becoming a proficient data scientist. Its clear and engaging writing style makes complex concepts approachable, empowering you to unlock the full potential of data and drive informed decision-making in a world increasingly shaped by information. If you like this book, write a review!