Lego (r) harry potter (tm): the triwizard tournament, Ameet

Автор: Ameet Studio
Название: The Knight`s Code (Lego Nexo Knights)
ISBN: 1338112287 ISBN-13(EAN): 9781338112283
Издательство: Scholastic
Цена: 1527.00 р.
Наличие на складе: Нет в наличии.

Описание: The Knights' Code is an ancient book: a guide every knight-in-training receives upon entering Knighton's prestigious Knights Academy. This unique format looks just like the ACTUAL Knights' Code from the NEXO KNIGHTS TV show Updated with the latest technological advances by the NEXO KNIGHTS themselves, this book contains Knightly codes of conduct, detailed descriptions of power-ups and the latest weaponry, critical information on Knighton and wizard history, and much, much more.
Like the Book of Monsters before it, this is a beautifully illustrated guide designed to look like an in-world book. In this case, it belongs to the leader of the NEXO KNIGHTS team-Clay. Clay is constantly referring to The Knights' Code in the series, and the characters use it as a guide for how to battle the evil monsters they face. The format is intended to feel deluxe, and as if it's an artifact from the actual TV show.

Автор: Ameet Studio
Название: Lego Star Wars: A Search-And-Find Book
ISBN: 054560804X ISBN-13(EAN): 9780545608046
Издательство: Scholastic
Цена: 822.00 р.
Наличие на складе: Нет в наличии.

Описание: Perfect for fans of any age, this fun-filled activity book is based on the LEGO(R) Star Wars(R) universe

Star Wars is the most recognizable sci-fi brand to date, its legacy spanning generations. LEGO has proved itself to be a powerhouse among younger boys. Together, the two brands are unstoppable.

Following on the success of our LEGO Star Wars publishing program, our favorite heroes and villains return in an action-filled and hilarious Search-and-Find

Автор: Mohri Mehryar, Rostamizadeh Afshin, Talwalkar Ameet
Название: Foundations of Machine Learning, 2 ed.
ISBN: 0262039400 ISBN-13(EAN): 9780262039406
Издательство: Random House (USA)
Рейтинг:
Цена: 12415.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.

This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics.

Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVM); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes aoffer dditional material including concise probability review.

This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.