Learning technologies systems (452 résultats)

Softcover. Etat : Good. No Jacket. Former library book. Solid binding. Shows more than the usual amount of shelf wear. Large crease(s) in the cover. Please note the image in this listing is a stock photo and may not match the covers of the actual item. Ex-Library.

hardcover. Etat : Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Hardcover. Etat : New. Brand new book, sourced directly from publisher. Dispatch time is 9-10 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

hardcover. Etat : Very Good. Hardcover issued without dust-jacket. Clean and solid. Ships from a smoke-free home.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : Very Good. Very Good; Hardcover; Light wear to the covers; Unblemished textblock edges; The endpapers and all text pages are clean and unmarked; The binding is tight with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 1.4 lbs; Red and yellow covers with title in white lettering; 2012, Springer-Verlag Publishing; 324 pages; "Designing for Learning in an Open World (Explorations in the Learning Sciences, Instructional Systems and Performance Technologies)," by Gráinne Conole. …

paperback. Etat : New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Taschenbuch. Etat : Neu. Neuware - Software can do far more than follow fixed rules. It can classify messages, understand documents, extract important information, search by meaning, generate useful responses, and improve through carefully controlled feedback.But building a promising prototype is only the beginning.Developing Smart Applications with AI and Language Technologies shows you how to turn intelligent capabilities into reliable, maintainable, and production-ready software.Designed around practical implementation rather than dense mathematical theory, this book takes you from a clearly defined business problem to a complete working solution. You will learn not only how models work, but how data, architecture, evaluation, APIs, security, deployment, monitoring, and human oversight fit together.Inside, you will learn how to: - Translate real business requirements into measurable technical tasks- Prepare trustworthy datasets and prevent common data-quality problems- Build practical text classifiers using scikit-learn- Process real-world text using spaCy- Understand transformer models without unnecessary mathematical complexity- Work with PyTorch and Hugging Face Transformers- Build embeddings and semantic-search capabilities- Design vector-based retrieval architectures- Extract names, dates, organizations, obligations, and other structured information from documents- Use generative models behind clear and controlled software boundaries- Build retrieval-augmented generation workflows grounded in trusted organizational knowledge- Design safer feedback loops for continual improvement- Evaluate accuracy, robustness, fairness, and real business usefulness- Serve predictive capabilities through FastAPI endpoints- Track experiments, versions, releases, and model lifecycles- Package services with Docker and prepare them for production- Monitor performance, latency, failures, cost, and model behavior- Protect sensitive information and control access to intelligent servicesThe book concludes with a complete capstone project that combines classification, extraction, semantic retrieval, grounded generation, feedback, evaluation, versioning, API serving, security, and monitoring into one integrated architecture.Whether you are a beginner, Python developer, software engineer, data practitioner, career switcher, or working professional, this book provides a practical path from your first intelligent feature to dependable production systems.You do not need advanced calculus or research-level mathematics. What you need is a willingness to build, test, measure, and improve.Move beyond isolated demonstrations and learn how to engineer intelligent software that can survive real users, changing data, evolving requirements, and production demands.…

Taschenbuch. Etat : Neu. Neuware.

Etat : New. In English.

Etat : New. 1st ed. 2024 edition NO-PA16APR2015-KAP.

Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New. In English.

Etat : New. In English.

Etat : New.

Paperback. Etat : Brand New. 180 pages. 9.25x6.10x9.21 inches. In Stock.

Etat : New.

Etat : New. Softcover reprint of the original 1st ed. 2018 edition NO-PA16APR2015-KAP.

Etat : New.

Etat : New.

Etat : New.

Etat : New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Etat : New.