This book addresses the automatic sizing and layout of analog integrated circuits (ICs) using deep learning (DL) and artificial neural …
This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, …
A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to …
Innovation and competition are driving analysts and data scientists toward increasingly complex predictive modeling and machine learning algorithms. This complexity …
Create and unleash the power of neural networks by implementing C# and .Net code Key Features Get a strong foundation …
This book examines machine learning models including logistic regression, decision trees, and support vector machines, and applies them to common …
Key Features• Master popular machine learning models including k-nearest neighbors, random forests, logistic regression, k-means, naive Bayes, and artificial neural …