£43.65

Financial Data Analytics with Machine Learning, Optimization and Statistics (Wiley Finance)

9781119863373

Professional Finance

Price data last checked 148 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

This is the usual price. Wait for it to drop, or tell us your number.

£44 today · usual range £0–£0 · best ever £41

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 226 days • 226 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 226 days • 7 price levels

Days at Price

Current Price

Price Analysis

Most common price: £45 (102 days, 45.1%)

Price range: £41 - £50

Price levels: 7 different prices over 226 days

Description

An essential introduction to data analytics and Machine Learning techniques in the business sector In Financial Data Analytics with Machine Learning, Optimization and Statistics, a team consisting of a distinguished applied mathematician and statistician, experienced actuarial professionals and working data analysts delivers an expertly balanced combination of traditional financial statistics, effective machine learning tools, and mathematics. The book focuses on contemporary techniques used for data analytics in the financial sector and the insurance industry with an emphasis on mathematical understanding and statistical principles and connects them with common and practical financial problems. Each chapter is equipped with derivations and proofs―especially of key results―and includes several realistic examples which stem from common financial contexts. The computer algorithms in the book are implemented using Python and R, two of the most widely used programming languages for applied science and in academia and industry, so that readers can implement the relevant models and use the programs themselves. This book can help readers become well-equipped with the following skills: To evaluate financial and insurance data quality, and use the distilled knowledge obtained from the data after applying data analytic tools to make timely financial decisions To apply effective data dimension reduction tools to enhance supervised learning To describe and select suitable data analytic tools as introduced above for a given dataset depending upon classification or regression prediction purpose The book covers the competencies tested by several professional examinations, such as the Predictive Analytics Exam offered by the Society of Actuaries, and the Institute and Faculty of Actuaries' Actuarial Statistics Exam. Besides being an indispensable resource for senior undergraduate and graduate students taking courses in financial engineering, statistics, quantitative finance, risk management, actuarial science, data science, and mathematics for AI, Financial Data Analytics with Machine Learning, Optimization and Statistics also belongs in the libraries of aspiring and practicing quantitative analysts working in commercial and investment banking.

Product Specifications

Model: 9781119863373
Format: hardcover
ASIN: 1119863376
Category: Books > Subjects > Business, Finance & Law > Professional Finance
Domain: Amazon UK
Release Date: 24 October 2024
Listed Since: 31 August 2021

Barcode

No barcode data available

Financial Data Analytics with Machine Learning, Optimization and Statistics (Wiley Finance)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2018

Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2022

Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2022

Insurance, Biases, Discrimination and Fairness (Springer Actuarial)

Actuarial Finance: Derivatives, Quantitative Models and Risk Management

Statistical and Probabilistic Methods in Actuarial Science (Chapman & Hall/CRC Series in Actuarial Science)

Mathematical and Statistical Methods for Actuarial Sciences and Finance

Computational Actuarial Science with R: 17 (Chapman & Hall/CRC The R Series)

Computational Actuarial Science with R: 17 (Chapman & Hall/CRC The R Series)

Machine Learning in Insurance

Pricing in General Insurance (Chapman & Hall/CRC Series in Actuarial Science)

Modelling in Life Insurance – A Management Perspective: 0 (EAA Series)

R Programming for Actuarial Science

Actuarial Models: The Mathematics of Insurance, Second Edition

Effective Statistical Learning Methods for Actuaries II: Tree-Based Methods and Extensions (Springer Actuarial)

Insurance Planning Models: Price Competition And Regulation Of Financial Stability: 2 (Advances In Statistics, Probability And Actuarial Science)

Introduction to Actuarial and Financial Mathematical Methods

A History of British Actuarial Thought

Financial and Insurance Formulas

A History of British Actuarial Thought

Predictive Modeling Applications in Actuarial Science: Volume 1, Predictive Modeling Techniques (International Series on Actuarial Science)

Financial and Insurance Formulas

Introduction to Probability, Statistics & R: Foundations for Data-Based Sciences

Les grands principes de l'actuariat: Vie, Non vie, Gestion actif passif, Maîtrise des risques