Kenmerken
Auteur
Marc Peter Deisenroth
Conditie
Zo goed als nieuw
Productnummer (ISBN)
9781108455145
Jaar (oorspr.)
2020
Beschrijving
BoekenBalie maakt van tweedehands jouw eerste keuze. Met een Trustscore van 4,8 (excellent) en 30 dagen retour garantie maken we dat iedere dag waar.
Bestel direct op onze website!
Titel: Mathematics for Machine Learning
Auteur: Marc Peter Deisenroth
ISBN: 9781108455145
Conditie: Als nieuw
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.
Bestel direct op onze website!
Titel: Mathematics for Machine Learning
Auteur: Marc Peter Deisenroth
ISBN: 9781108455145
Conditie: Als nieuw
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.
Waarom je bij BoekenBalie moet zijn voor al je tweedehands boeken:
- Bestel je voor 15:00 uur? Dan vliegt het dezelfde dag nog jouw kant op!
- Meer dan 400.000 tweedehands boeken om uit te kiezen
- We checken alle boeken eigenhandig
- Vanaf 40 euro of bij 4 boeken is de verzending op onze rekening
- 30 dagen retourgarantie
Website
boekenbalie.be...
...
...
...
...
...
...
...
...
...
...
...
Bezorgt in heel België
4x bekeken
0x bewaard
Sinds 27 sep '25
Zoekertjesnummer: a154886854
Populaire zoektermen
harry potter engelsphysics for scientiststaal laten groeienlearning resourcesassimil engelscutting machinefor girls onlyleo engelsharry potter engelspoets machineengels lerendisney engels lerenthe hunger games engelsatlas van de nederlandse taalkippen in Pluimveeopel kadett velgen in Banden en Velgennikon coolpix camera in Fotocamera's Digitaalgarmin fenix 6 sapphire in Sporthorlogesopel vivaro achterbumper in Carrosseriegraffart in Antiek | Glaswerk en Kristaliveco 50 c in Bestelwagens en Lichte vrachthuis te koop met hangar in Huizen en Appartementen te kooptrumpeter in Modelbouw | Auto's en Voertuigenhooibakken in Stalling en Weidegang