Prasad a J K (43 results)

Condition: very_good.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback or Softback. Condition: New. Machine Learning For Undergraduate Students. Book.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback or Softback. Condition: New. Machine Learning. Book.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condition: Good. Dust Jacket Condition: 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 (illustrator). …

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: As New. Unread book in perfect condition.

Softcover (Stiff Card). Condition: Very Good. No Dust Jacket. First Edition. Size: A4 (300 x 210mm approx.). Text body is clean, and free from previous owner annotation, underlining and highlighting. Binding is tight, covers and spine fully intact. No foxing in this copy. All edges clean, neat and free of foxing. Quantity Available: 1. Shipped Weight: Under 1 kilogram. Category: Architecture; Engineering, Industrial, Trade. ISBN: 0730569551. ISBN/EAN: 9780730569558. All our pictures shown here are of the actual item, not stock photos. Inventory No: 22118. For further info on this title, click on the "Contact Seller" button within this listing. We will try to reply within 24 hours. Otherwise you can order right now (inclusive of shipping options) from the "Add to Basket" button to the right.…

Hardcover. Condition: Brand New. 384 pages. 9.75x7.00x1.25 inches. In Stock.

Hardcover. Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Paperback. Condition: New.

Condition: Très bon. Perspectives in Optoelectronics | S.S. Jha | World Scientific, 1995. In-8° cartonné, 938 pages. Couverture propre. Dos solide. Intérieur frais sans soulignage ou annotation. Exemplaire de bibliothèque : petit code barre en pied de 1re de couv., cotation au dos, rares et discrets petits tampons à l'intérieur de l'ouvrage. Très bon état général [NM49] Pour les expéditions internationales, nous consulter au préalable pour l ajustement des frais de port qui seront peut-être revus à la baisse/ For international shipments, please contact us in advance to adjust shipping costs. |.…

Taschenbuch. Condition: Neu. Combinatorial Matrix Theory and Generalized Inverses of Matrices | Ravindra B. Bapat (u. a.) | Taschenbuch | xvii | Englisch | 2015 | Springer | EAN 9788132217251 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condition: Hervorragend. Zustand: Hervorragend | Seiten: 340 | Sprache: Englisch | Produktart: Bücher | Machine Learning for Undergraduate Students 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. With engaging examples and detailed figures and tables (52 figures and 44 tables), this book provides learners with a strong foundation in machine learning concepts, preparing them to explore opportunities in both academic and professional settings. Designed for undergraduates, career changers, and anyone curious about this rapidly evolving field of machine learning, this textbook serves as a valuable resource for understanding and navigating its complexities. …

Condition: New.

Hardcover. Condition: New. New .Ships From Multiple Locations. book.

Paperback. Condition: New. Language: English. The Title 'Census of India 1871-1951: United Provinces of Agra & Oudh written/authored/edited by J. Charles Williams, Edmund White, D. C. Baillie, R. Burn, E. A. H. Blunt, E. H. H. Edye, A. C. Turner, B. Sahay, Khan Bahadur Sheikh FazliIlahi, W. G. Archer, R. K. Ramadhyani, Rajeshwari Prasad', published in the year 2024. The ISBN 9789371337519 is assigned to the Paperback version of this title. This book has total of pp. 9865 (Pages). The publisher of this title is Gyan Publishing House. This Book is in English. The subject of this book is History. Size of the book is 21.59 x 27.94 cms Vol: Volume 23 Books .Set Volume 23 Books .Set 9865. …

Paperback. Condition: 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 multiple locations in the US or from the UK, depending on stock availability.…