Suzuki joe (61 Ergebnisse)

Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: New. pp. 256.

paperback. Zustand: Very Good.

Zustand: New.

Zustand: New.

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: New.

Zustand: New.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

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

Zustand: New. In English.

Zustand: New.

Paperback. Zustand: Brand New. 244 pages. 9.25x6.10x0.52 inches. In Stock.

Zustand: New. pp. 220.

Zustand: New. In English.

Zustand: New.

303 pp.; 23.5 x 16 cm.; sewn bound; black-and-white & color; edition size unknown; unsigned and unnumbered; offset-printed A history and survey of sound art by Alan Licht. Foreword by Jim O'Rourke. Artists include Harry Bertoia, François Baschet, Bernard Baschet, Jean Tinguely, Michael Snow, Alvin Lucier, Phill Niblock, Paul Panhuysen, Joe Jones, La Monte Young, Yasunao Tone, Hermann Nitsch, Bernhard Leitner, Annea Lockwood, Rolf Julius, Max Neuhaus, Akio Suzuki, Terry Fox, Maryanne Amacher, Charlemagne Palestine, Bill Fontana, Christina Kubisch, Brian Eno, Trimpin, Mike Kelley, Christian Marclay, Carl Michael von Hausswolff, Janet Cardiff, Michael J. Schumacher, Francisco Lopez, Stephen Vitiello, and Steve Roden. Includes a compilation CD with work by Bill Fontana, Steve Roden, Jean Dubuffet, Destroy All Monsters, Anthony Burr and Charles Curtis and Bernhard Gil. Includes artist's biographies, notes, index, and Audio CD Credits. Profusely illustrated in black-and-white and color. Fine. Contents clean and unmarked. Includes Audio CD. Due to large size and weight additional shipping charges will be required for international orders.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering.

Paperback. Zustand: Brand New. 256 pages. 9.25x6.10x0.61 inches. In Stock.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building Python programs.As the preliminary part, Chapter 1 provides a concise introduction to linear algebra, which will help novices read further to the following main chapters. Those succeeding chapters present essential topics in statistical learning: linear regression, classification, resampling, information criteria, regularization, nonlinear regression, decision trees, support vector machines, and unsupervised learning.Each chapter mathematically formulates and solves machine learning problems and builds the programs. The body of a chapter is accompanied by proofs and programs in an appendix, with exercises at the end of the chapter. Because the book is carefully organized to provide the solutions to the exercises in each chapter, readers can solve the total of 100 exercises by simply following the contents of each chapter.This textbook is suitable for an undergraduate or graduate course consisting of about 12 lectures. Written in an easy-to-follow and self-contained style, this book will also be perfect material for independent learning.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building R programs.As the preliminary part, Chapter 1 provides a concise introduction to linear algebra, which will help novices read further to the following main chapters. Those succeeding chapters present essential topics in statistical learning: linear regression, classification, resampling, information criteria, regularization, nonlinear regression, decision trees, support vector machines, and unsupervised learning.Each chapter mathematically formulates and solves machine learning problems and builds the programs. The body of a chapter is accompanied by proofs and programs in an appendix, with exercises at the end of the chapter. Because the book is carefully organized to provide the solutions to the exercisesin each chapter, readers can solve the total of 100 exercises by simply following the contents of each chapter.This textbook is suitable for an undergraduate or graduate course consisting of about 12 lectures. Written in an easy-to-follow and self-contained style, this book will also be perfect material for independent learning.…

Zustand: New. In English.

Paperback. Zustand: Brand New. 207 pages. 6.10x9.25x0.43 inches. In Stock.

Paperback. Zustand: Brand New. 217 pages. 9.00x6.00x0.75 inches. In Stock.