The Financial Data Playbook is a compendium of thoughtful business lessons from a career financial machine learning engineer. It offers insights on how to navigate the business expectations and theoretical challenges of modern applied finance. Each argument is presented as a careful mathematical discussion that illustrates how investors, executives, and engineers think about and allocate resources to high-risk high-reward research and development projects. Readers will learn about: Measuring the business value of ...
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The Financial Data Playbook is a compendium of thoughtful business lessons from a career financial machine learning engineer. It offers insights on how to navigate the business expectations and theoretical challenges of modern applied finance. Each argument is presented as a careful mathematical discussion that illustrates how investors, executives, and engineers think about and allocate resources to high-risk high-reward research and development projects. Readers will learn about: Measuring the business value of improving model accuracy Improving the accuracy and validity of investment performance simulations Estimating the amount of data required to improve a model Choosing the right model for the data Comparing the performance of modern and legacy methods Accounting for counter-party expectations to improve accuracy And more ... This book is written for finance and data business managers who want to maximize their financial data science R&D investment by understanding the opportunities and constraints presented by recent advances in financial machine learning.
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Add this copy of The Financial Data Playbook to cart. $9.65, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2021 by Independently Published.
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Add this copy of The Financial Data Playbook (Algorithmic Trading) to cart. $52.96, new condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2021 by Independently published.