Prasad dr a j k (10 risultati)

Condizione: very_good.

Condizione: New.

Hardcover. Condizione: Good. Condizione sovraccoperta: Good. Bound in its original green cloth. in an unclipped. good. jacket. complete with list of contributors pasted to final page. 28 pp fully illd in black and white. with one colour photograph of painting by J A K Martyn.Guaranteed condition. Various (illustratore). …

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Paperback. Condizione: new. Paperback. This book on Artificial Intelligence has been carefully conceptualized to meet the academic requirements of second-year undergraduate students. Written in clear and simple language, it presents complex AI concepts in a lucid manner, supported by relevant examples that enhance comprehension. The book is organized into five well-structured chapters covering essential topics such as intelligent agents, problem-solving techniques, search strategies, logical reasoning, and uncertainty handling, enabling students to build a strong conceptual foundation. In addition to theory, the book includes a practical programming component comprising 11 experiments, encouraging hands-on learning and application of concepts. Concise, learber-friendly, and easy to follow, this book is designed to stimulate intellectual curiosity and support learners throughout their learning journey. This book on Artificial Intelligence has been carefully conceptualized to meet the academic requirements of second-year undergraduate students. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: new. Paperback. Machine Learning for Undergraduate Students (Second Edition) is a comprehensive guide designed to make the complex world of machine learning accessible to beginners. This book introduces foundational concepts, starting with the need for machine learning, its relationship with other fields, and its diverse applications. Through a structured exploration of essential topics, readers will gain a clear understanding of data analysis, including univariate, bivariate, and multivariate statistics, as well as techniques like feature engineering and dimensionality reduction.Building on these basics, the book delves into core machine learning methodologies. Topics include similarity-based learning, regression analysis, decision tree algorithms, and Bayesian learning. The chapters also introduce artificial neural networks, explaining their biological inspiration, architecture, and applications. Advanced subjects such as clustering algorithms, proximity measures, and reinforcement learning-covering Q-Learning and SARSA-are presented with clarity, ensuring a thorough understanding of each concept.The enhanced second edition features two appendices. Appendix A covers a description of learning paradigms that covers batch and online learning approaches, along with advanced few-shot and one-shot learning techniques. Learners explore how models adapt to different data scenarios-from processing complete datasets to learning from just one or a few examples-using various learning styles, including metric learning, meta-learning, prototype-based methods, and attention-based approaches across diverse applications in healthcare, robotics, and computer vision. Appendix B dwells on several numerical exercises for the learner to practice. Machine Learning for Undergraduate Students (Second Edition) This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…