Mathematics for Machine Learning
Deisenroth, Marc Peter, Faisal, A. Aldo, Ong, Cheng Soon
| Autor: | Deisenroth, Marc Peter Faisal, A. Aldo Ong, Cheng Soon |
|---|---|
| Themengebiete: | Intelligenz / Künstliche Intelligenz KI Künstliche Intelligenz - AI Mathematik / Technik, Ingenieurwissenschaften, Handwerk Mustererkennung |
| Veröffentlichungsdatum: | 23.04.2020 |
| EAN: | 9781108455145 |
| Sprache: | Englisch |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Cambridge University Pr. |
Produktinformationen "Mathematics for 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 book's web site.
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen