Big Data, Data Mining and Machine Learning
Jared Dean
Big Data, Data Mining, and Machine Learning shows how organizations can harness the power of high-performance computing architectures and data mining, text analytics and machine learning algorithms. Written for corporate leaders and technology and marketing executives, Big Data, Data Mining, and Machine Learning offers a detailed review of how big data analytics can be used to gain an edge on the competition and increase the bottom line.
Guiding the reader through a step-by-step process, author and data mining expert Jared Dean outlines the characteristics of big data and shows how high-performance computing for analytics works in real-world settings. Dean explores such key topics as parallel processing databases and reveals how to apply algorithms for big data and in-memory databases. He also shows what it takes to implement machine learning algorithms for big data platforms and analytics environments.
Filled with illustrative examples from companies that have successfully used big data to transform their businesses. Big Data, Data Mining, and Machine Learning clearly demonstrates that corporations can create an ideal analytic environment that is well suited to the challenges of today’s data analysis demands.
The concepts that Jared presents in this book are extremely valuable for the students that I teach and will help them to more fully understand the power that can be unlocked when an organization begins to take advantage of its data.
Tonya Etchison Balan, Ph.D., Professor of Practice, Statistics
Poole College of Management
North Carolina State University
Learn what kind of computing environment is needed to manage today's data mining workloads in this excerpt from Big Data, Data Mining, and Machine Learning.