---
title: "Ankur Patel og Ankur A. Patel Hands-On Unsupervised Learning Using Python"
ean: "9781492035640"
brand: "Ankur Patel og Ankur A. Patel"
category: "Medier > Bøger > Trykte bøger"
price_min: 574
price_max: 574
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9781492035640/hands-on-unsupervised-learning-using-python
last_checked: 2026-10-14
---

# Ankur Patel og Ankur A. Patel Hands-On Unsupervised Learning Using Python

EAN 9781492035640 · Mærke: Ankur Patel og Ankur A. Patel · Kategori: Medier > Bøger > Trykte bøger

Sammenlign priser på Ankur Patel og Ankur A. Patel Hands-On Unsupervised Learning Using Python fra 1 forhandler. Billigste pris nu: 574 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9781492035640/hands-on-unsupervised-learning-using-python

## Priser
- **Billigste pris nu:** 574 kr hos Saxo DK
- **Prisspænd:** 574 kr – 574 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 574 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started. Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learning Set up and manage machine learning projects end-to-end Build an anomaly detection system to catch credit card fraud Clusters users into distinct and homogeneous groups Perform semisupervised learning Develop movie recommender systems using restricted Boltzmann machines Generate synthetic images using generative adversarial networks

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Priserne er sidst kontrolleret 2026-10-14.