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MARC PETER DEISENROTH (67 risultati)
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Marlton Books, Bridgeton, NJ, U.S.A.
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Condizione: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. paperback Used - Acceptable 2020.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 1920
ISBN 10: 110845514X ISBN 13: 9781108455145
Paperback. Condizione: 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!
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Books From California, Simi Valley, CA, U.S.A.
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paperback. Condizione: Fine.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: CollegePoint, Inc, Jamestown, TN, U.S.A.
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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.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Chapter Two Bookstore, Lompoc, CA, U.S.A.
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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.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 50,61
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Textbooks_Source, Columbia, MO, U.S.A.
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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).
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Mathematics for Machine Learning (Paperback or Softback)
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press 4/23/2020, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
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Paperback or Softback. Condizione: New. Mathematics for Machine Learning. Book.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingDa: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 53,36
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Spedito in U.S.A.Quantità: Più di 20 disponibili
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingDa: PBShop.store UK, Fairford, GLOS, Regno Unito
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EUR 48,92
Spedizione EUR 6,77
Spedito da Regno Unito a U.S.A.Quantità: 11 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Basi6 International, Irving, TX, U.S.A.
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Condizione: 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.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press CUP, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New.
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Mathematics for Machine Learning (Paperback)
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, Cambridge, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
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.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, GB, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 63,56
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Spedito da Regno Unito a U.S.A.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.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Majestic Books, Hounslow, Regno Unito
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EUR 56,51
Spedizione EUR 7,49
Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, GB, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
EUR 65,57
Spedizione gratuita
Spedito in U.S.A.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.
-
Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 48,91
Spedizione EUR 17,29
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 52,94
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Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108470041 ISBN 13: 9781108470049
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108470041 ISBN 13: 9781108470049
Da: Textbooks_Source, Columbia, MO, U.S.A.
Valutazione del venditore 5 su 5 stelle
Prima edizione
hardcover. Condizione: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press 2020-04-23, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Chiron Media, Wallingford, Regno Unito
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EUR 50,63
Spedizione EUR 17,85
Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 56,71
Spedizione EUR 17,29
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Edizione InternazionaleMathematics for Machine Learning 1st Edition
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: UK BOOKS STORE, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 66,50
Spedizione EUR 8,06
Spedito da Regno Unito a U.S.A.Quantità: 5 disponibili
Aggiungi al carrelloPaperback. Condizione: Used books. Used Books ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Edizione Internazionale
Mathematics for Machine Learning 1st Edition
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Press, 2020
ISBN 10: 1108470041 ISBN 13: 9781108470049
Da: UK BOOKS STORE, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 66,50
Spedizione EUR 8,06
Spedito da Regno Unito a U.S.A.Quantità: 5 disponibili
Aggiungi al carrelloHardcover. Condizione: Used books. Used Books ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Pr. Apr 2020, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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EUR 50,00
Spedizione EUR 23,00
Spedito da Germania a U.S.A.Quantità: 1 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.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Pr. Apr 2020, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germania
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EUR 50,00
Spedizione EUR 23,00
Spedito da Germania a U.S.A.Quantità: 1 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.
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Mathematics for Machine Learning
Libro 34 di 38: Studies in Natural Language ProcessingLingua: Inglese
Editore: Cambridge University Pr. Apr 2020, 2020
ISBN 10: 110845514X ISBN 13: 9781108455145
EUR 50,00
Spedizione EUR 25,95
Spedito da Germania a U.S.A.Quantità: 1 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 studentsand otherswith a mathematical background, these derivations provide a starting point to machine learning texts. Forthoselearning 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.
