This highly popular text on computation attempts to introduce the necessary mathematical tools gently and gradually, in the context in which they are used, and to provide discussion and examples that make the language intelligible.
Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only…
For these special editions, the editorial team at Pearson has collaborated with educators across the world to address a wide range of subjects and requirements, equipping students with the best possible learning tools.
This international edition preserves the cutting-edge approach and pedagogy of the original, but may also feature alterations, cu…
SPEECH and LANGUAGE PROCESSING
An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
"This is quite simply the most complete introduction to natural language and speech technology ever written."
-Richard Sproat, AT&T Labs-Resran
"This book is impressive in its scope and depth. It has the potent…
This book provides a coherent coverage of object-oriented (00) technology, and teaches students how to actually do object-oriented design and construction using UML as modeling language and C++ as programming language. The authors also introduce all of the basic object-oriented fundamentals necessary to understand and apply the object-oriented parad…