Call for Recognition, Krishnaswamy, R. (Jindal Global University)
Автор: Cawthon Scott Название: Bunny Call (Five Nights at Freddy`s: Fazbear Frights #5), Volume 5 ISBN: 1338576046 ISBN-13(EAN): 9781338576047 Издательство: Scholastic Рейтинг: Цена: 7830.00 T Наличие на складе: Ожидается поступление. Описание: Five Nights at Freddy`s fans won`t want to miss this pulse-poundingcollection of three novella-length tales that will keepeven the bravest FNAF player up at night...
Автор: Stiefvater, Maggie Название: Call down the hawk ISBN: 1407194461 ISBN-13(EAN): 9781407194462 Издательство: Scholastic UK Рейтинг: Цена: 7910.00 T Наличие на складе: Заказано в издательстве. Описание: From the #1 New York Times Bestselling author of The Raven Cycle,the mesmerizing story of those who can bring parts of their dreamsinto reality . . . and those who will stop at nothing to destroythem.
Автор: Blade Adam Название: The Chronicles of Avantia. Call to War: Book 3 ISBN: 1408307499 ISBN-13(EAN): 9781408307496 Издательство: Bookpoint Рейтинг: Цена: 2200.00 T Наличие на складе: Есть Описание: Third book in the exciting adventure series The Chronicles of Avantia. The adventures of Tanner and his Beast, Firepos, as they battle the evil Lord Derthsin continues, building to a shattering climax! Great for boys looking for something to move up to from Beast Quest.
Tanner, his Beast Firepos, and his companions are on a perilous mission to save the land of Avantia from the evil warlord Derthsin. They must locate the pieces of a powerful artifact called the Mask of Death, before it is too late.
Avantia now burns in the fires of war. Derthsin's evil armies swarm the land, and Tanner and the Chosen Riders are all that stand in their way.
There is a darkness growing in Tannor we meet new heroes and just when you think the villans can't get any eviler they do. However there are bi of this books that happen for no reason other than it happened. Firepos and Tanner suddenly get sick. Then suddenly get better. The evil beast who has held his own against all the good beast combined, is almost killed by Tanner twice.
Автор: Strang Gilbert Название: Linear Algebra and Learning from Data ISBN: 0692196382 ISBN-13(EAN): 9780692196380 Издательство: Cambridge Academ Рейтинг: Цена: 66520.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.
Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 1493938436 ISBN-13(EAN): 9781493938438 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 0387310738 ISBN-13(EAN): 9780387310732 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Автор: Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong Название: Mathematics for Machine Learning ISBN: 110845514X ISBN-13(EAN): 9781108455145 Издательство: Cambridge Academ Рейтинг: Цена: 42230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.
Автор: Honneth Axel Название: I in We ISBN: 0745652336 ISBN-13(EAN): 9780745652337 Издательство: Wiley Рейтинг: Цена: 20050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this volume Axel Honneth deepens and develops his highly influential theory of recognition, showing how it enables us both to rethink the concept of justice and to offer a compelling account of the relationship between social reproduction and individual identity formation.
Автор: Gabel Peter Название: Desire for Mutual Recognition ISBN: 1138095281 ISBN-13(EAN): 9781138095281 Издательство: Taylor&Francis Рейтинг: Цена: 40820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is a work of accessible social theory that seeks to make visible the desire for authentic social connection, emanating from our social nature, that animates all human relationships.
Автор: Uday Kamath; John Liu; James Whitaker Название: Deep Learning for NLP and Speech Recognition ISBN: 3030145956 ISBN-13(EAN): 9783030145958 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience.
Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book.
The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are:
Machine Learning, NLP, and Speech IntroductionThe first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning BasicsThe five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech
The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.
Автор: Hornick, Jason L. Название: Practical Soft Tissue Pathology: A Diagnostic Approach ISBN: 0323497144 ISBN-13(EAN): 9780323497145 Издательство: Elsevier Science Рейтинг: Цена: 262740.00 T Наличие на складе: Поставка под заказ. Описание: Part of the in-depth and practical Pattern Recognition series, Practical Surgical Soft Tissue Pathology, 2nd Edition, helps you arrive at an accurate diagnosis by using a proven pattern-based approach. Leading diagnosticians guide you through the most common patterns seen in soft tissue pathology, applying appropriate immunohistochemistry and molecular testing, avoiding pitfalls, and making the best diagnosis. High-quality illustrations capture key morphologic patterns for a full range of common and rare tumor types, and a "visual index" at the beginning of the book directs you to the exact location of in-depth diagnostic guidance.
A consistent chapter organization by histologic pattern considers soft tissue tumors the way you approach them in daily practice, helping you arrive at a quick and accurate diagnosis. A user-friendly design color-codes patterns to specific entities, and key points are summarized in tables and text boxes, so you can quickly and easily find what you are looking for. Sweeping content updates keep you at the forefront of recent findings regarding all major neoplastic and non-neoplastic diseases of the soft tissues.
Improved pattern call-outs are now linked directly within the chapter, reinforcing the patterns for more efficient and complete understanding. Expert ConsultT eBook version included with purchase. This enhanced eBook experience allows you to search all of the text, figures, and references from the book on a variety of devices.
Автор: Tor Lattimore, Csaba Szepesvari Название: Bandit Algorithms ISBN: 1108486827 ISBN-13(EAN): 9781108486828 Издательство: Cambridge Academ Рейтинг: Цена: 46470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for graduate students interested in exploring stochastic, adversarial and Bayesian frameworks.
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