On or Off, Volume 2, A1

Автор: A1
Название: On or Off, Volume 1
ISBN: 1427871310 ISBN-13(EAN): 9781427871312
Издательство: Random House (USA)
Рейтинг:
Цена: 12250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Winner of the Ridibooks 2019 BL Awards! Available unabridged and uncensored for the first time in English.They say all's fair in love... and work?!After joining his friend's startup, university student Ahn Yiyoung never imagined he'd end up presenting their work directly to SJ Corporation, a major company headed by one of the most sought-after talents in the country: Kang Daehyung. It certainly doesn't help that, on top of being a bigshot executive, strikingly handsome Director Kang is his ideal type! When his presentation fails to go as planned, Yiyoung's desire to impress Director Kang leads him to take desperate measures...

and lands him in a whole new mess, tangled up between his personal and professional relationships. How far is Yiyoung willing to go to achieve success in both his love life and his career?NOTE: This book contains mature themes and explicit sexual content, including situations involving dubious consent. It is not intended for anyone under 18 years of age.

Автор: A1
Название: On or Off, Volume 2
ISBN: 1427871329 ISBN-13(EAN): 9781427871329
Издательство: Random House (USA)
Рейтинг:
Цена: 12250.00 T
Наличие на складе: Нет в наличии.
Описание: Winner of the Ridibooks 2019 BL Awards Yiyoung and his college friends have formed a startup company together, and even managed to score a proposal meeting with the illustrious SJ corporation. But when he meets Kang Daehyung, a handsome corporate big shot thats just his type, can Yiyoung keep his cool long enough to succeed in both his love life and his career?

Автор: Oowara Sumito
Название: Keep Your Hands Off Eizouken! Volume 3
ISBN: 150671899X ISBN-13(EAN): 9781506718996
Издательство: Random House (USA)
Рейтинг:
Цена: 11950.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is for researchers and students in statistics, data mining, computer science, machine learning, marketing and also practitioners who implement recommender systems. It provides an in-depth discussion of challenges encountered in deploying real-life large-scale systems and state-of-the-art solutions in personalization, explore/exploit, dimension reduction and multi-objective optimization.