---
title: "Brad Lookabaugh, Hariom Tatsat og Sahil Puri Machine Learning and Data Science Blueprints for Finance"
ean: "9781492073055"
brand: "Brad Lookabaugh, Hariom Tatsat og Sahil Puri"
category: "Medier > Bøger > Trykte bøger"
price_min: 649
price_max: 649
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9781492073055/machine-learning-and-data-science-blueprints-for-finance
last_checked: 2026-10-14
---

# Brad Lookabaugh, Hariom Tatsat og Sahil Puri Machine Learning and Data Science Blueprints for Finance

EAN 9781492073055 · Mærke: Brad Lookabaugh, Hariom Tatsat og Sahil Puri · Kategori: Medier > Bøger > Trykte bøger

Sammenlign priser på Brad Lookabaugh, Hariom Tatsat og Sahil Puri Machine Learning and Data Science Blueprints for Finance fra 1 forhandler. Billigste pris nu: 649 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9781492073055/machine-learning-and-data-science-blueprints-for-finance

## Priser
- **Billigste pris nu:** 649 kr hos Saxo DK
- **Prisspænd:** 649 kr – 649 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 649 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You'll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You'll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations

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Priserne er sidst kontrolleret 2026-10-14.