---
title: "Machine Learning, revised and updated edition - Ethem Alpaydin - Paperback Bog - MIT Press Ltd - 2021 - Engelsk - Booktok.dk"
ean: "9780262542524"
brand: "Ethem Alpaydin"
category: "Medier > Bøger"
price_min: 160
price_max: 194
currency: DKK
vendor_count: 2
in_stock: true
url: https://pricetracker.dk/p/9780262542524/machine-learning-revised-and-updated-edition-ethem-alpaydin-paperback
last_checked: 2026-10-14
---

# Machine Learning, revised and updated edition - Ethem Alpaydin - Paperback Bog - MIT Press Ltd - 2021 - Engelsk - Booktok.dk

EAN 9780262542524 · Mærke: Ethem Alpaydin · Kategori: Medier > Bøger

Sammenlign priser på Machine Learning, revised and updated edition - Ethem Alpaydin - Paperback Bog - MIT Press Ltd - 2021 - Engelsk - Booktok.dk fra 2 forhandlere. Billigste pris nu: 160 kr hos Booktok. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9780262542524/machine-learning-revised-and-updated-edition-ethem-alpaydin-paperback

## Priser
- **Billigste pris nu:** 160 kr hos Booktok
- **Prisspænd:** 160 kr – 194 kr på tværs af 2 forhandlere
- **Prisen er på sit laveste registrerede niveau.**

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Booktok | 160 kr | 1-3 dage |
| Saxo DK | 194 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> A concise primer on machine learning—computer programs that learn from data and the basis of applications like voice recognition and driverless cars. No in-depth knowledge of math or programming required! Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition—as well as some we don’t yet use every day, including driverless cars. It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpaydin offers a concise and accessible overview of “the new AI.” This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpaydin explains that as Big Data has grown, the theory of machine learning—the foundation of efforts to process that data into knowledge—has also advanced. He covers: • The evolution of machine learning • Important learning algorithms and example applications • Using machine learning algorithms for pattern recognition • Artificial neural networks inspired by the human brain • Algorithms that learn associations between instances • Reinforcement learning • Transparency, explainability, and fairness in machine learning • The ethical and legal implicates of data-based decision making A comprehensive introduction to machine learning, this book does not require any previous knowledge of mathematics or programming—making it accessible for everyday readers and easily adoptable for classroom syllabi.

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Priserne er sidst kontrolleret 2026-10-14.