Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Marlton Books, Bridgeton, NJ, U.S.A.
Condizione: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. paperback Used - Acceptable 2020.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Chapter Two Bookstore, Lompoc, CA, U.S.A.
Soft cover. Condizione: Very Good. Book and cover look really nice. Binding is tight and square. Book is clean as a whistle inside and out with minor shelf wear.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Goodwill of Greater Milwaukee and Chicago, Racine, WI, U.S.A.
Condizione: acceptable. Book is considered to be in acceptable condition. The actual cover image may not match the stock photo. Book may have one or more of the following defects: noticeable wear on the cover dust jacket or spine; curved, dog eared or creased page s ; writing or highlighting inside or on the edges; sticker s or other adhesive on cover; CD DVD may not be included; and book may be a former library copy.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 50,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press 4/23/2020, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Mathematics for Machine Learning. Book.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Textbooks_Source, Columbia, MO, U.S.A.
Prima edizione
paperback. Condizione: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 53,29
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 55,39
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 51,57
Quantità: 11 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: CollegePoint, Inc, Jamestown, TN, U.S.A.
Prima edizione
Paperback. Condizione: Good. 1st Edition. We only honor returns for quality issues and won't accept reasons such as 'change my mind', 'find a better price', or 'school book requirement change', etc.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: California Books, Miami, FL, U.S.A.
EUR 59,44
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Speedyhen LLC, Hialeah, FL, U.S.A.
Condizione: NEW.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Prima edizione
Paperback. Condizione: new. Paperback. The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site. This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 65,00
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
EUR 66,40
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: GoldBooks, Denver, CO, U.S.A.
Paperback. Condizione: new. New Copy. Customer Service Guaranteed.
Lingua: Inglese
Editore: Cambridge University Press CUP, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: MostlyAcademic, Berrima, NSW, Australia
Prima edizione
EUR 37,98
Quantità: 1 disponibili
Aggiungi al carrelloSoft cover. Condizione: Fine. 1st Edition.
Lingua: Inglese
Editore: Cambridge University Press 2020-04-23, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Chiron Media, Wallingford, Regno Unito
EUR 50,81
Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 51,56
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Majestic Books, Hounslow, Regno Unito
EUR 62,01
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 56,87
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 61,04
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Pr. Apr 2020, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 49,80
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site. 371 pp. Englisch.
Lingua: Inglese
Editore: Cambridge University Pr. Apr 2020, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germania
EUR 49,80
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site. 371 pp. Englisch.
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 64,05
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. 2020. Paperback. . . . . .
Lingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 59,31
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.