Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation …
When did fidgety children begin to suffer from attention deficit disorder? How did frightened people come to be called paranoid? …
The book series "Smart Computing Applications" provides a platform for researchers, academicians and practitioners to exchange ideas on recent theoretical …
Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows …
Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented …
Key Features ● Implement Machine Learning and Deep Learning techniques for efficient natural language processing ● Get started with NLTK …
This book constitutes the thoroughly refereed post-proceedings of the 15th International Workshop on Theoretic Foundations of Computer Vision, held as …
""Embark on a groundbreaking journey to revolutionize the future of artificial intelligence with 'Building Better Minds: Artificial General Intelligence via …
Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field …
With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of …
The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like ChatGPT are …
On order equivalences between distance and similarity measures on sequences and trees.- Scalable Corpus Annotation by Graph Construction and Label …
Learn the intricacies of data description, issue identification, and practical problem-solving, armed with essential techniques and expert tips. Key Features …
Tackle the complex challenges faced while building end-to-end deep learning models using modern R libraries Key Features Understand the intricacies …
Data science is a fusion of multiple disciplines, including statistics, computer science, information technology and domain specific fields. As a …
In this book, we introduce quantum computation and its application to AI. We highlight problem solving and knowledge representation framework. …
This book constitutes the thoroughly refereed post-proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision, held at …
A dizzying display of intellect and wild imaginings by Moravec, a world-class roboticist who has himself developed clever beasts . …
Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and …
George M. Church Ed Regis Regenesis How Synthetic Biology Will Reinvent Nature and Ourselves Basic Books (2012)
With the increasing applications of intelligent robotic systems in various fields, the design and control of these systems have increasingly …
Accelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library. In Deep Learning with JAX …
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making …
Named one of "The five best books to understand AI" by The EconomistThe impact AI will have is profound, but …
Explore the dramatic changes brought on by the new manufacturing technologies of Industry 4.0In Smart Manufacturing, The Lean Six Sigma …
Great data presentations tell a story. Learn how to organize, visualize, and present data using Python, generative AI, and the …
In 1950 Alan Turing (1912-1954) published his famous article, "Computing Machinery and Intelligence" in the journal Mind. This article is …
General WisdomWhat Is Game AI? Kevin DillInforming Game AI through the Study of Neurology Brett LamingAdvanced Randomness Techniques for Game …
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different …
"Stan Franklin is the perfect tour guide through the contemporary interdisciplinary matrix of artificial intelligence, cognitive science, cognitive neuroscience, artificial …
Intelligent Techniques for Warehousing and Mining Sensor Network Data presents fundamental and theoretical issues pertaining to data management. Covering a …
Grand master and prolific chess author Neil McDonald explains every single move made in 30 striking tactical or strategical games …
Craft ethical AI projects with privacy, fairness, and risk assessment features for scalable and distributed systems while maintaining explainability and …
An accessible synthesis of ethical issues raised by artificial intelligence that moves beyond hype and nightmare scenarios to address concrete …
An important collection of studies providing a fresh and original perspective on the nature of mind, including thoughtful and detailed …
Revolutionary ideas on how to use markets to bring about fairness and prosperity for allMany blame today's economic inequality, stagnation, …
