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Algorithmic Finance : A Companion to Data Science by Christopher Hian Ann ...
Algorithmic Finance : A Companion to Data Science by Christopher Hian Ann ...
Algorithmic Finance : A Companion to Data Science by Christopher Hian Ann ...
Algorithmic Finance : A Companion to Data Science by Christopher Hian Ann ...
Algorithmic Finance : A Companion to Data Science by Christopher Hian Ann ...

Algorithmic Finance : A Companion to Data Science by Christopher Hian Ann ...

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Algorithmic FinanceA Companion to Data Science\nAuthor(s): Hian Ann, Christopher Ting\nFormat: Hardback\nPublisher: World Scientific Publishing Co Pte Ltd, Singapore\nImprint: World Scientific Publishing Co Pte Ltd\nISBN-13: 9789811238307, 978-9811238307\nSynopsis\nWhy is data science a branch of science? Is data science just a catchy rebranding of statistics?\n\nData science provides tools for statistical analysis and machine learning. But, as much as application problems without tools are lame, tools without application problems are vain. Through example after example, this book presents the algorithmic aspects of statistics and show how some of the tools are applied to answer questions of interest to finance.\n\nThis book champions a fundamental principle of science objective reproducibility of evidence independently by others. From a companion web site, readers can ---- many easy-to-understand Python programs and real-world data. Independently, readers can draw for themselves th.

Algorithmic Finance : A Companion to Data Science by Christopher Hian Ann ...

Algorithmic FinanceA Companion to Data Science\nAuthor(s): Hian Ann, Christopher Ting\nFormat: Hardback\nPublisher: World Scientific Publishing Co Pte Ltd, Singapore\nImprint: World Scientific Publishing Co Pte Ltd\nISBN-13: 9789811238307, 978-9811238307\nSynopsis\nWhy is data science a branch of science? Is data science just a catchy rebranding of statistics?\n\nData science provides tools for statistical analysis and machine learning. But, as much as application problems without tools are lame, tools without application problems are vain. Through example after example, this book presents the algorithmic aspects of statistics and show how some of the tools are applied to answer questions of interest to finance.\n\nThis book champions a fundamental principle of science objective reproducibility of evidence independently by others. From a companion web site, readers can ---- many easy-to-understand Python programs and real-world data. Independently, readers can draw for themselves th.

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