This updated second edition describes the intuition behind deep learning innovations without jargon or complexity.... Læs mere
In this guide, author Gant Laborde--Google Developer Expert in machine learning and the web--provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers.
This book introduces machine learning in finance and illustrates how to integrate computational tools with numerical finance with real world applications.
This book introduces machine learning in finance and illustrates how to integrate computational tools with numerical finance with real world applications.
This comprehensive book offers valuable insights while using a wealth of examples and illustrations to effectively demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security.
An intuitive, accessible text explaining the fundamentals and applications of signal processing on graphs. It covers basic and advanced topics, includes numerous... Læs mere
This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant... Læs mere
This book is a text intended for advanced undergraduates or graduate students which provides theoretical tools for analyzing and designing a large class... Læs mere
High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically... Læs mere
Machine learning algorithms hold out extraordinary promise, but the reality is that their success depends entirely on the suitability of the data... Læs mere