Scott burger (80 resultados)

Paperback. Condición: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condición: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

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

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

Paperback. Condición: Very Good. --ALL INVENTORY 40% OFF in Sept--Unmarked text. Biting the Error is edited by Mary Burger, Robert Gluck, Camille Roy and Gail Scott, the co-founders of the Narrativity Website Magazine, based at the Poetry Center, San Francisco State University. The anthology includes contributions from forty experimental writers, including Kathy Acker, Dennis Cooper, Nicole Brossard, Daphne Marlatt, Lydia Davis, Kevin Killian, Christian Bok, Corey Frost, Derek McCormack and Lisa Robertson. 301p. Measures 5.5x8.75 inches.…

Condición: As New. Unread book in perfect condition.

Condición: New.

Soft cover. Condición: As New. No Jacket. The Dark Man: The Journal of Robert E. Howard and Pulp Fiction Studies Vol 8 No 2.

Soft cover. Condición: Very Good. Top corner of cover has former ownership stamp of archaeologist J[effrey]. P. Brain and another stamp indicating that this volume was not accessioned by a Harvard University library; top of fore edge has small bit of minor soil; back cover has faint, minor crease; tight, text clean. Paginated 275-404, illustrated. Oversize [b 830]. …

Pamphlet. Condición: Very Good. 1st Edition. Vol 125, No 2, pp. 253-264, Color Maps, Illus, 4to, Extracted from orig vol, begins with title page, trimmed & stapled, thus is like a pamphlet, VG.

Paperback. Condición: Brand New. none edition. 250 pages. 8.00x5.50x0.75 inches. In Stock.

Condición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Condición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

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

Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,350grams, ISBN:185477008X. …

Paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

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

Condición: As New. Unread book in perfect condition.

Condición: New.

Paperback. Condición: New. Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods. Finally, you'll delve into the frontier of machine learning, using the caret package in R. Once you develop a familiarity with topics such as the difference between regression and classification models, you'll be able to solve an array of machine learning problems. Author Scott V. Burger provides several examples to help you build a working knowledge of machine learning. Explore machine learning models, algorithms, and data training Understand machine learning algorithms for supervised and unsupervised cases Examine statistical concepts for designing data for use in models Dive into linear regression models used in business and science Use single-layer and multilayer neural networks for calculating outcomes Look at how tree-based models work, including popular decision trees Get a comprehensive view of the machine learning ecosystem in R Explore the powerhouse of tools available in R's caret package.…

Condición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Paperback. Condición: New. Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods. Finally, you'll delve into the frontier of machine learning, using the caret package in R. Once you develop a familiarity with topics such as the difference between regression and classification models, you'll be able to solve an array of machine learning problems. Author Scott V. Burger provides several examples to help you build a working knowledge of machine learning. Explore machine learning models, algorithms, and data training Understand machine learning algorithms for supervised and unsupervised cases Examine statistical concepts for designing data for use in models Dive into linear regression models used in business and science Use single-layer and multilayer neural networks for calculating outcomes Look at how tree-based models work, including popular decision trees Get a comprehensive view of the machine learning ecosystem in R Explore the powerhouse of tools available in R's caret package.…

Condición: Brand New. 336 pages. German language. 5.24x1.18x7.56 inches. In Stock.

Paperback or Softback. Condición: New. Introduction to Machine Learning with R: Rigorous Mathematical Analysis. Book.

Condición: New.

Paperback. Condición: New.

Condición: new.

Condición: New. In English.

Paperback. Condición: new. Paperback. This volume contains the proceedings of the 18th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2025, which took place in Pittsburgh, Pennsylvania, USA, in October 2025.The 23 papers presented in this volume were carefully reviewed and selected from 56 submissions. They are divided into the following themes: Advances in Tools and Theory; Data-Driven Approaches.Another focus of the conference is on understanding, predicting, and influencing human sociocultural behavior. This volume contains the proceedings of the 18th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2025, which took place in Pittsburgh, Pennsylvania, USA, in October 2025.The 23 papers presented in this volume were carefully reviewed and selected from 56 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: As New. Unread book in perfect condition.