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    Financial Engineering with Machine Learning and Python. Or How to Build Your Own Quantitative Hedge Fund Irene Aldridge

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Financial Engineering with Machine Learning and Python. Or How to Build Your Own Quantitative Hedge Fund Irene Aldridge - okladka książki

    Financial Engineering with Machine Learning and Python. Or How to Build Your Own Quantitative Hedge Fund Irene Aldridge - okladka książki

    Financial Engineering with Machine Learning and Python. Or How to Build Your Own Quantitative Hedge Fund Irene Aldridge - audiobook MP3

    Financial Engineering with Machine Learning and Python. Or How to Build Your Own Quantitative Hedge Fund Irene Aldridge - audiobook CD

    Autor:
    Irene Aldridge
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    In a world where machine learning and AI are becoming increasingly prevalent, it is crucial not to be left behind. This book goes beyond the typical machine learning and Python books by incorporating in-depth finance content to provide readers with a unique understanding of how these technologies intersect in the financial realm.
    Starting with a review of the basics of financial and econometric analyses and coding, readers will quickly and intuitively progress to more sophisticated techniques. The book equips readers with the necessary knowledge to successfully apply machine learning and AI to various finance-related problems. Instead of solely focusing on the intricacies of machine learning algorithms, this book emphasizes the strategic use of machine learning and python as enablers for solving real-world finance problems.
    By the end of the book, readers will not only have a solid grasp of different types of advanced AI mechanisms, but they will also possess the ability to compare various machine learning techniques and select the most appropriate one for the specific problem at hand. Bridging the gap between theory and practice, readers will be able to build their own efficient and effective machine learning models to tackle the challenges and complexities of the finance industry.

    O autorze książki

    Irene Aldridge is a leading quantitative researcher, entrepreneur, and educator with over two decades of experience in financial services. She is CEO of two fintech startups and teaches at Cornell's Financial Engineering Manhattan program and Cambridge University's Master of Finance program. Irene has held senior roles across the financial value chain—from back office systems to front office trading and risk. She holds degrees in Electrical Engineering, Financial Engineering, and an MBA from INSEAD, and has studied at Columbia and in two PhD programs. Irene is the author of six books published by Wiley, and her work has been featured at top AI and finance conferences including AAAI

    Packt Publishing - inne książki

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