Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Financial Data Analytics with Machine Learning, Optimization and Statistics

Financial Data Analytics with Machine Learning, Optimization and Statistics

Cheung, Ka Chun
Chen, Sam
Yam, Phillip

Hardcover

Series: Wiley Finance

Investing & FinanceGeneral ComputersProbability & Statistics

Currently unavailable to order

ISBN10: 1119863376
ISBN13: 9781119863373
Publisher: Wiley
Published: Nov 12 2024
Pages: 816
Weight: 2.65
Height: 1.90 Width: 6.90 Depth: 9.30
Language: English

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.

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