1,581円 La Inteligencia Artificial combina algoritmos matemáticos y técnicas de Machine Learning, Deep Learning y Big Data para extraer el conocimiento contenido en los datos y presentarlo de forma comprensible y automática. Las redes neuronales y sus aplicaciones son una herramienta fundamental para des...

1,581円 Artificial Intelligence combines mathematical algorithms and techniques from Machine Learning, Deep Learning and Big Data to extract the knowledge contained in the data and present it in an understandable and automatic way. Neural networks and their applications are a fundamental tool to develop ...

5,430円 This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data t...

12,603円 Developed from a graduate course this book examines some of the deep issues that have become very relevant due to the increasing use of AI in recent times. The book discusses various aspects ranging from the effects of proliferation of algorithmic decision making, autonomous systems, explainabili...

3,183円 AI isn’t magic. How AI Works demystifies the explosion of artificial intelligence by explainingーwithout a single mathematical equationーwhat happened, when it happened, why it happened, how it happened, and what AI is actually doing "under the hood." Artificial intelligence is everywhereーfrom s...

10,446円 Entropy Randomization in Machine Learning presents a new approach to machine learningーentropy randomizationーto obtain optimal solutions under uncertainty (uncertain data and models of the objects under study). Randomized machine-learning procedures involve models with random parameters and maxi...

10,943円 Algebraic Structures in Natural Language addresses a central problem in cognitive science concerning the learning procedures through which humans acquire and represent natural language. Until recently algebraic systems have dominated the study of natural language in formal and computational lingu...

10,612円 This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. This book presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization and hardware-level instruction acceleration. An...

10,612円 Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life. The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions discusses how modern software engineering practices are part of this revolu...

13,099円 Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2, the reader is shown how Python can be u...

10,612円 Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications. The book is accessible and doesn’t prove th...

11,772円 Natural Language Processing (NLP) is a sub-field of Artificial Intelligence, linguistics, and computer science and is concerned with the generation, recognition, and understanding of human languages, both written and spoken. NLP systems examine the grammatical structure of sentences as well as th...