Zhang max (9 Ergebnisse)

Zustand: New. Idioma/Language: Español. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.

Tapa blanda. Zustand: New. "Archivar, desarchivar, anarchivar. Trabajo, exceso y dispersión" reúne una serie de ensayos que interrogan el archivo como dispositivo discursivo, estético y político. Los textos aquí reunidos parten de la reflexión sobre los modos en que el archivo atraviesa obras literarias, y audiovisuales, pero también formas en que el archivo nos convoca a pensar intervenciones urbanas, mediáticas, visuales. El archivo opera en silencio y sin cesar, interpela al archivista, al analista, al crítico, a todo quien que pretenda vivir en él. Porque sucede, asimismo, que el archivo es un peligro. En un mundo donde la abundancia, la hiperaccesibilidad, la inmediatización y la obsesión por conservarlo todo amenazan al pensamiento, el volumen procura darle relieve a ese otro trabajo de las humanidades (de la historia, la filosofía, la literatura), encargadas de conferir espectralidad a una cultura hecha de datos. Este volumen despliega, entonces, las tensiones del trabajo de archivo -el trabajo del archivo y el trabajo con el archivo- y las pone a prueba en el lenguaje de la crítica. Propone así una forma de leer que no busca dominar ni clausurar la lógica de la ratio, sino exponerse a sus desvíos, excesos y zonas perdidas. Dejar las migas de pan en el bosque, para alimentar la ecología de saberes y, luego, continuar hasta perderse más allá de las clasificaciones.…

Zustand: New. In English.

Hardcover. Zustand: Brand New. 369 pages. 6.00x0.94x9.00 inches. In Stock.

Hardcover. Zustand: Brand New. 369 pages. 6.00x0.94x9.00 inches. In Stock.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | Understand how to use MLOps as an engineering discipline to help with the challenges of bringing machine learning models to production quickly and consistently. This book will help companies worldwide to adopt and incorporate machine learning into their processes and products to improve their competitiveness.The book delves into this engineering discipline's aspects and components and explores best practices and case studies. Adopting MLOps requires a sound strategy, which the book's early chapters cover in detail. The book also discusses the infrastructure and best practices of Feature Engineering, Model Training, Model Serving, and Machine Learning Observability. Ray, the open source project that provides a unified framework and libraries to scale machine learning workload and the Python application, is introduced, and you will see how it fits into the MLOps technical stack.This book is intended for machine learning practitioners, such as machine learning engineers, and data scientists, who wish to help their company by adopting, building maps, and practicing MLOps. What You'll Learn Gain an understanding of the MLOps discipline Know the MLOps technical stack and its components Get familiar with the MLOps adoption strategy Understand feature engineering Who This Book Is ForMachine learning practitioners, data scientists, and software engineers who are focusing on building machine learning systems and infrastructure to bring ML models to production.…

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Taschenbuch. Zustand: Neu. Nonclinical Statistics for Pharmaceutical and Biotechnology Industries | Lanju Zhang | Taschenbuch | Statistics for Biology and Health | xxii | Englisch | 2018 | Springer | EAN 9783319794990 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 1956 | Sprache: Englisch | Produktart: Bücher | The proceedings of the 2014 International Conference on Logistics, Informatics and Services Sciences (LISS¿2014) gather 259 papers on the latest fundamental advances in the state of the art and practice of logistics, informatics, service operations and service science. The books is divided into four main sections focusing on different aspects: Service Management, Logistics Management, Information Management, and Engineering Management. It also covers ten special sessions: Advanced Management Decision Making Techniques and Application; Freight Transportation and Information Technology; Free Trade Zone (FTZ) and Supply Chain Management; Innovation in Service Science; Comprehensive Service; International Trade and Investment of Service Industries Theories and Practices, Trends and Strategies; Supply Chain Management, Industrial Economy and Urban Logistics; Management Process Optimization Modeling & Data Analysis; Logistics Management & IOT Technology Application; and Digital Publishing & Media. The papers in each section describe state-of-art research works that are often oriented towards real-world applications and highlight the benefits of related methods and techniques for developing the emerging field of service science, logistics and informatics.…