Wasserman Larry (104 results)

Paperback. Condition: Good. Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.…

Paperback. Condition: Good. Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.…

Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

paperback. Condition: Very Good. Very Good text and cover, minor reading wear to text and covers/edges. Fast shipping from Northern California via US MAIL. Most International orders shipped via DHL/Asendia. Additional postage may be required on oversize books and sets. Please, NO prison orders.

Hardback. Condition: Good. Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.…

As new! Paper bound, 158pp. New/fine/unread. 180 grams. Contributions by Larry Kuehn, Satu Repo, Mike VandeVelde, Kelly Holloway, Donald MacLeod, David Owen, Pat Clarke, Tom Roderick, Jim Cummins, Sheila Wasserman, Doug Little, and Erika Shaker. Contents are: Teaching Students More than Where to Put th H in Afghanistan; Drawing on the Resources of the Critical Culture; University Faculty Worried over CSIS Activity; Welsh Education Bucks the Privatization Trend; How September Played in My Classroom; How to Teach This?; Responding to Children's Concerns About War; In Memoriam: David Corson Fought Social Justice in Education; B.C. Teachers Rethink Evaluation; Ontario Tories Draw Ideas from Two Failed American Education Reform Movements; Public Money Without Accountability. All titles in stock and available for immediate shipment from Winnipeg, Manitoba.…

Hardback. Condition: Good. Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.…

Paperback. Condition: As New. In excellent shape. Appears unread.

Taschenbuch. Condition: Sehr gut. 200 Seiten Falk - 1. Auf. 2004 - tb QB-DKIN-9SVG Sprache: Deutsch Gewicht in Gramm: 299.

Soft cover. Condition: Good. 1st Edition.

Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

hardcover. Condition: Fine.

hardcover. Condition: Very Good.

Hardback. Condition: Good. There are many books on various aspects of nonparametric inference such as density estimation, nonparametric regression, bootstrapping, and wavelets methods. But it is hard to ?nd all these topics covered in one place. The goal of this text is to provide readers with a single book where they can ?nd a brief account of many of the modern topics in nonparametric inference. The book is aimed at master's-level or Ph. D. -level statistics and computer science students. It is also suitable for researchersin statistics, machine lea- ing and data mining who want to get up to speed quickly on modern n- parametric methods. My goal is to quickly acquaint the reader with the basic concepts in many areas rather than tackling any one topic in great detail. In the interest of covering a wide range of topics, while keeping the book short, I have opted to omit most proofs. Bibliographic remarks point the reader to references that contain further details. Of course, I have had to choose topics to include andto omit,the title notwithstanding. For the mostpart,I decided to omit topics that are too big to cover in one chapter. For example, I do not cover classi?cation or nonparametric Bayesian inference. The book developed from my lecture notes for a half-semester (20 hours) course populated mainly by master's-level students. For Ph. D.…

hardcover. Condition: Very Good. In stock ready to dispatch from the UK.

Hardback. Condition: Good. There are many books on various aspects of nonparametric inference such as density estimation, nonparametric regression, bootstrapping, and wavelets methods. But it is hard to ?nd all these topics covered in one place. The goal of this text is to provide readers with a single book where they can ?nd a brief account of many of the modern topics in nonparametric inference. The book is aimed at master's-level or Ph. D. -level statistics and computer science students. It is also suitable for researchersin statistics, machine lea- ing and data mining who want to get up to speed quickly on modern n- parametric methods. My goal is to quickly acquaint the reader with the basic concepts in many areas rather than tackling any one topic in great detail. In the interest of covering a wide range of topics, while keeping the book short, I have opted to omit most proofs. Bibliographic remarks point the reader to references that contain further details. Of course, I have had to choose topics to include andto omit,the title notwithstanding. For the mostpart,I decided to omit topics that are too big to cover in one chapter. For example, I do not cover classi?cation or nonparametric Bayesian inference. The book developed from my lecture notes for a half-semester (20 hours) course populated mainly by master's-level students. For Ph. D.…

Condition: very_good. Book has minor corner edge dings and or scratches.

Condition: New.

Condition: New.

Hardback. Condition: New. This comprehensive modern look at regression covers a wide range of topics and relevant contemporary applications, going well beyond the topics covered in most introductory books. With concision and clarity, the authors present linear regression, nonparametric regression, classification, logistic and Poisson regression, high-dimensional regression, quantile regression, conformal prediction and causal inference. There are also brief introductions to neural nets, deep learning, random effects, survival analysis, graphical models and time series. Suitable for advanced undergraduate and beginning graduate students, the book will also serve as a useful reference for researchers and practitioners in data science, machine learning, and artificial intelligence who want to understand modern methods for data analysis. …

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. 1st ed. Softcover of orig. ed. 2004. Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.…

[9] pp.; 28 x 21.7 cm.; slide bound; black-and-white & color; edition size unknown; unsigned and unnumbered; offset-printed Catalogue of serigraphs [screenprints] published by Art Dealers Cooperative and printed by Larry Wright & Merle Leech Art Productions, New York. Artists' include Walter Darby Bannard, Dan Christensen, Darryl Hughto, Larry Poons, Michael Steiner, Larry Zox, Ronald Saypol, Lester Dembitzer, Andrew C. Hilton, Roy V. Titus, David Margolis, Alvin Tannenbaum and Herbert Wasserman. Fair. Significant handling wear with dents and creases to covers and edge wear. 2.5 cm. dog-ear to bottom right corner of recto with a 3 mm. tear. 6.8 cm. yellow stain to verso and yellowing along perimeter with additional light soiling.…

Condition: New.

Hardback. Condition: New. This comprehensive modern look at regression covers a wide range of topics and relevant contemporary applications, going well beyond the topics covered in most introductory books. With concision and clarity, the authors present linear regression, nonparametric regression, classification, logistic and Poisson regression, high-dimensional regression, quantile regression, conformal prediction and causal inference. There are also brief introductions to neural nets, deep learning, random effects, survival analysis, graphical models and time series. Suitable for advanced undergraduate and beginning graduate students, the book will also serve as a useful reference for researchers and practitioners in data science, machine learning, and artificial intelligence who want to understand modern methods for data analysis. …

Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Condition: New. 1st ed. Softcover of orig. ed. 2004. Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.…

Condition: As New. Unread book in perfect condition.

Condition: very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy.

Paperback. Condition: New.