learning graphical models (148 resultados)

Hardcover. Condición: Very Good. No Jacket. Former library book; Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.1.

Condición: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if youâre not satisfied with purchase please return item for full refund. Ships USPS Media Mail.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Graphical Models for Educational Assessment - Visualizing Learning Outcomes explores the application of graphical models in the field of educational assessment. This book discusses how these models can be used to represent and analyze learning outcomes effectively. By employing graphical approaches, educators and researchers can gain valuable insights into student performance and assessment strategies. The text serves as a vital resource for those involved in educational research and assessment, providing tools to enhance understanding of learning processes.

Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9781784392055.

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Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 2.55.

gebundene Ausgabe. Condición: Gut. 630 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.). Schnitt und Einband sind etwas staubschmutzig; Einbandkanten sind leicht bestossen; der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Sprache: Englisch Gewicht in Gramm: 1120.

Condición: New. In English.

Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 453.

paperback. Condición: Very Good. Fast Shipping - Safe and Secure 7 days a week!

hardcover. Condición: Very Good. Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting.

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Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. The Intersection of Graphical Models and Machine Learning explores the synergy between graphical models and machine learning techniques, offering a sophisticated perspective on their combined applications. This book is intended for data scientists and statisticians who wish to deepen their understanding of how these methodologies can enhance predictive modeling and inference. It covers a range of topics, including Bayesian networks, Markov random fields, and their integration with machine learning algorithms. The content is rich with theoretical insights and practical examples, making it an essential resource for those looking to innovate in the fields of data analysis and machine learning. This book is invaluable for professionals eager to explore cutting-edge techniques in their work. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Learning Graphical Models - A Beginner's Study Guide serves as an introductory text for those looking to understand the fundamental principles of graphical models. This book breaks down complex concepts into digestible segments, making it accessible for novices. Readers will explore various types of graphical models and their applications across different fields. The guide emphasizes practical understanding, ensuring that learners can apply these models effectively in real-world scenarios. With a focus on clarity and engagement, this book is the perfect starting point for aspiring data scientists and analysts. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

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Paperback. Condición: Like New. Like New. book.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Graphical Models for Educational Assessment - Visualizing Learning Outcomes provides a unique perspective on how graphical models can be utilized to interpret and visualize educational data. This book explores the relationship between learning outcomes and assessment strategies through sophisticated visual representations. By employing graphical models, educators and researchers can better understand the complexities of student performance and the factors influencing it. The text is a vital contribution to the field of educational assessment, offering innovative approaches to data visualization that enhance comprehension and facilitate informed decision-making. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. This book provides a comprehensive introduction to the application of probabilistic graphical models in machine learning. By examining the mathematical principles underlying probabilistic graphical models, readers gain a deeper understanding of the complex relationships between probability theory and machine learning. The book covers a wide range of topics, from the fundamentals of probability theory to advanced techniques in machine learning. Through a series of in-depth case studies and real-world examples, readers learn how to apply probabilistic graphical models to design and optimize machine learning algorithms. By leveraging the power of probability theory, readers can gain insights into the underlying mechanisms that govern machine learning and contribute to the development of more accurate and efficient machine learning models. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.