Machine Learning

In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acq...

Bring magic to your mobile apps using TensorFlow Lite and Core MLKey Features Explore machine learning using classification, analytics, and detecti...

While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computin...

Transformer-based language models are powerful tools for solving a variety of language tasks and represent a phase shift in the field of natural la...

In the modern symphony of business, each section-from the technical to the managerial-must play in harmony. Authors Ron Itelman and Juan Cruz Viott...

Algorithmen für künstliches Lernen verstehen Maschinelles Lernen ist eines der wichtigsten Teilgebiete der künstlichen Intelligenz und das Verstehe...

With the shift from data warehouses to data lakes, data now lands in repositories before it's been transformed, enabling engineers to model raw dat...

Entropy Randomization in Machine Learning presents a new approach to machine learning—entropy randomization—to obtain optimal solutions under uncer...

Someday computers will be artists. They'll be able to write amusing and original stories, invent and play games of unsurpassed complexity and inven...

First Published in 1987. This is the collected proceedings of the second International Conference on Genetic Algorithms held at the Massachusetts I...

Providing a unified coverage of the latest research and applications methods and techniques, this book is devoted to two interrelated techniques fo...

From the Foreword:"Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of B...

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine...

Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Networ...

Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. O...

Steganography is the art of communicating a secret message, hiding the very existence of a secret message. This book is an introduction to steganal...

Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward sig...

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data an...

Intelligent Support for Computer Science Education presents the authors’ research journey into the effectiveness of human tutoring, with the goal of...

Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by h...

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motiv...

This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the im...

Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to sever...