Denis Daniel J Daniel J Denis (151 results)

Hardcover. Condition: Very Good. Dust Jacket Condition: Very Good. First Edition. The binding is tight, corners sharp. Light foxing on edges of text block. Text and images unmarked.

Paperback. Condition: Very Good. Softcover. Very Good with regular shelf/age wear. Free of any markings and no writings inside. Clear text. Foxing on top edge. For any additional information or pictures, please inquire.

Condition: very good. Budapest : Central European University Press , 1999. Paperback. xix, 427 pp. 23 cm. Condition : very good copy. ISBN 9789639116399. Keywords : RECHT, administrative law.

Stapled Softcover Wraps. Condition: Very Good. First Edition. Includes interviews with William Gibson and Bruce Sterling and much else. Copiously illustrated. Light edge and surface wear to the covers with slight rusting to the staples but otherwise unmarked.

Condition: As New. Unread book in perfect condition.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

paperback. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condition: New.

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

Condition: New. 2025. 1st Edition. paperback. . . . . .

Condition: New.

Paperback. Condition: New. Multivariate Statistics and Machine Learning is a hands-on textbook providing an in-depth guide to multivariate statistics and select machine learning topics using R and Python software.The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and analyses in R and Python in multivariate, data science, and machine learning domains. For readers wishing for additional theory, numerous references throughout the textbook are provided where deeper and less "hands on" works can be pursued.With its unique breadth of topics covering a wide range of modern quantitative techniques, user-friendliness, and quality of expository writing, Multivariate Statistics and Machine Learning will serve as a key and unifying introductory textbook for students in the social, natural, statistical, and computational sciences for years to come.…

Condition: New.

Condition: As New. Unread book in perfect condition.

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

Soft cover. Condition: New. ISBN:9781032454283.

Hardcover. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

hardcover. Condition: Very Good. Hardcover. Clean and unmarked. Binding strong. Light wear.

Condition: New. In English.

Condition: New.

Condition: New.

Paperback. Condition: New. Multivariate Statistics and Machine Learning is a hands-on textbook providing an in-depth guide to multivariate statistics and select machine learning topics using R and Python software.The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and analyses in R and Python in multivariate, data science, and machine learning domains. For readers wishing for additional theory, numerous references throughout the textbook are provided where deeper and less "hands on" works can be pursued.With its unique breadth of topics covering a wide range of modern quantitative techniques, user-friendliness, and quality of expository writing, Multivariate Statistics and Machine Learning will serve as a key and unifying introductory textbook for students in the social, natural, statistical, and computational sciences for years to come.…

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. 2025. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

Hardcover. Condition: Very Good. Dust Jacket Condition: Very Good. 2023 OUP hardcover edition. Unread copy in very good condition. Contents: I. EARLY ROME 1. Dead Dogs and Rattles: Time, Space, and Ritual Sacrifice in Iron Age Latium - Christopher Smith 2. The Priest and the Magistrate: Reflections on the Priesthoods and Public Law at the End of the Republic - John Scheid II. REPUBLICAN PRACTICES AND IDEAS 3. Acca Larentia Gains a Son: Myths and Priesthood at Rome - Mary Beard 4. Religion and War: On the Relationship of a Society's Religious and Political Systems - Jorg Rupke 5. Not the One nor the Many; A Pragmatic Approach to Religious Behaviour in a Polytheistic Society: The Example of Rome - Andreas Bendlin 6. Action and Ritual in Roman Historians: Or How Horatius Held the Door-Post - John North 7. Rites and Practices of Warfare in Italy between Romans and Samnites: Going under the Yoke and the Samnite Legio Linteata - Olivier de Cazanove III. SACRIFICE 8. Festus and the Role of Women in Roman Religion - Rebecca Flemming 9. Interpreting Sacrificial Ritual in Roman Poetry: Disciplines and Their Models - Denis Feeney IV. ROME AND ITALY 10. The Ritual of Centuriation: Frontinus, Hyginus Gromaticus, and Centuriation - Daniel J. Gargola 11. The Lucus Pisaurensis and the Romanization of the Ager Gallicus - Filippo Coarelli 12. Rome and the Great Places of Worship in Italy - John Scheid V. LATE REPUBLICAN TRANSFORMATIONS 13. Cicero and Divination: The Formation of a Latin Discourse - Mary Beard 14. The Peace of Augustus, the Equinox, and the Centre of the World - Alfred Schmid.…

Condition: New.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.