I have three texts in machine learning (Duda et. al, Bishop, and this one), and I can unequivocally say that, …
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts …
This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a …
"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google. Artificial …
Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only …
Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to …
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and …
Setting the Stage -- Linear Algebra over the Complex Numbers -- Complex Scalar Product Spaces (a.k.a. Hilbert Spaces) -- Lie …
The predictive power of mathematics in quantum phenomena is one of the great intellectual successes of the 20th century. This …
Every day, individuals take action based on how they believe innovation will change industries. Yet these beliefs are largely based …
Time series data analysis is increasingly important due to the massive production of such data through the internet of things, …
Defines the notion of an activity model learned from sensor data and presents key algorithms that form the core of …
Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become …
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Applied Econometric …
This book is open access under a CC BY 4.0 licenseThis open access book brings together the latest genome base …
