Giardina charles (18 Ergebnisse)

Hardcover. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Zustand: Very Good-. No Dust Jacket. First Edition; Second Printing. 446 pages; light fading on spine. Very Good condition otherwise. No other noteworthy defects. No markings.; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be packaged with care and ship on the same or next business day. Buy with confidence.…

Hardcover. Zustand: Good. No Jacket. 319pp. Hard cover, no jacket. Ex-university library copy with library markings. No annotations or underlining to text.

Zustand: New. In English.

Hardcover. Zustand: Bon. Ancien livre de bibliothèque avec équipements. Edition 1987. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 1987. Ammareal gives back up to 15% of this item's net price to charity organizations.…

hardcover. Zustand: Sehr gut. 446 Seiten; 9780135609132.2 Gewicht in Gramm: 2.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: Good. *FREE DOMESTIC SHIPPING until Mnoday, Oct. 19* 321 pp., Hardcover, ex library, else text clean and binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Photos available upon request.…

Zustand: Used. pp. 304.

hardcover. Zustand: Gut. 290 Seiten; 9780824700256.3 Gewicht in Gramm: 1.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 304 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: New. Includes hundreds of well-designed examples to illustrate the intriguing concepts in quantum systemsProvides precise description of all laws or equational identities that are needed in specifying an algebraic structureIllustrates .

Zustand: New. In English.

Paperback. Zustand: Brand New. 350 pages. 9.21x7.50x1.00 inches. In Stock.

Zustand: New. Provides readers with a resource that is loaded with hundreds of well-crafted examples illustrating the difficult concepts pertaining to quantum and stochastic processesAddresses probabilistic methods in the deep learning environment and in.

Zustand: New. 2024. paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Neuware - Probability for Deep Learning Quantum provides readers with the first book to address probabilistic methods in the deep learning environment and the quantum technological area simultaneously, by using a common platform: the Many-Sorted Algebra (MSA) view. While machine learning is created with a foundation of probability, probability is at the heart of quantum physics as well. It is the cornerstone in quantum applications. These applications include quantum measuring, quantum information theory, quantum communication theory, quantum sensing, quantum signal processing, quantum computing, quantum cryptography, and quantum machine learning. Although some of the probabilistic methods differ in machine learning disciplines from those in the quantum technologies, many techniques are very similar. Probability is introduced in the text rigorously, in Komogorov s vision. It is however, slightly modified by developing the theory in a Many-Sorted Algebra setting. This algebraic construct is also used in showing the shared structures underlying much of both machine learning and quantum theory. Both deep learning and quantum technologies have several probabilistic and stochastic methods in common. These methods are described and illustrated using numerous examples within the text. Concepts in entropy are provided from a Shannon as well as a von-Neumann view. Singular value decomposition is applied in machine learning as a basic tool and presented in the Schmidt decomposition. Besides the in-common methods, Born s rule as well as positive operator valued measures are described and illustrated, along with quasi-probabilities. Author Charles R. Giardina provides clear and concise explanations, accompanied by insightful and thought-provoking visualizations, to deepen your understanding and enable you to apply the concepts to real-world scenarios.…