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With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured... Read More >>
This book provides both theoretical and practical knowledge about artificial intelligence (AI) and swarm intelligence.... Read More >>
Today, many decisions that could be made by human beings, from predicting earthquakes to interpreting languages,... Read More >>
Discusses recent developments on graph theory, as well as its representation in social networks, artificial neural... Read More >>
Provides innovative insights into the multi-disciplinary applications of machine learning algorithms for data analytics.... Read More >>
Este libro lo abarca todo, desde el aprendizaje automático hasta la robótica y el Internet de las cosas. Usted puede... Read More >>
A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine... Read More >>
Discusses the next generation of high capacity passive optical access networks in terms of design, implementation,... Read More >>
So, what is the deal with intelligent machines? Will they soon decide on things such as copyright infringement?... Read More >>
Summary Pytoch is a quite powerful, flexible and yet popular deep learning framework, but the learning curve... Read More >>
Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern... Read More >>
This book will cover all the new features that have been introduced in TensorFlow 2.0 especially the major highlight,... Read More >>
What is machine learning? How machine learning works? Should I use a machine learning model or another approach... Read More >>
The Go ecosystem comprises some really powerful Deep Learning tools. This book shows you how to use these tools... Read More >>