Autor: Marc Peter Deisenroth , A. Aldo Faisal , Cheng Soon Ong
Wydawca: Cambridge University Press
Dostępność: 3-6 tygodni
Cena: 246,75 zł
Przed złożeniem zamówienia prosimy o kontakt mailowy celem potwierdzenia ceny.
ISBN13: |
9781108455145 |
ISBN10: |
110845514X |
Autor: |
Marc Peter Deisenroth , A. Aldo Faisal , Cheng Soon Ong |
Oprawa: |
Paperback |
Rok Wydania: |
2020-04-23 |
Ilość stron: |
398 |
Wymiary: |
253 x 177 mm |
Tematy: |
Machine learning |
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 books web site.
Książek w koszyku: 0 szt.
Wartość zakupów: 0,00 zł
Gambit
Centrum Oprogramowania
i Szkoleń Sp. z o.o.
Al. Pokoju 29b/22-24
31-564 Kraków
Siedziba Księgarni
ul. Kordylewskiego 1
31-542 Kraków
+48 12 410 5991
+48 12 410 5987
+48 12 410 5989
Administratorem danych osobowych jest firma Gambit COiS Sp. z o.o. Na podany adres będzie wysyłany wyłącznie biuletyn informacyjny.
© Copyright 2012: GAMBIT COiS Sp. z o.o. Wszelkie prawa zastrzeżone.
Projekt i wykonanie: Alchemia Studio Reklamy