Machine Learning and Data Science Blueprints for Finance
From Building Trading Strategies to Robo-advisors using Python
(Sprache: Englisch)
Machine learning and data science will significantly transform the finance industry in the next few years. With this practical guide, professionals at hedge funds, investment and retail banks, and fintech firms will learn how to build ML algorithms crucial...
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Machine learning and data science will significantly transform the finance industry in the next few years. With this practical guide, professionals at hedge funds, investment and retail banks, and fintech firms will learn how to build ML algorithms crucial to this industry. You'll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP).
Autoren-Porträt von Hariom Tatsat, Sahil Puri, Brad Lookabaugh
Hariom Tatsat currently works as a Vice President in the Quantitative Analytics division of an investment bank in New York. Hariom has extensive experience as a Quant in the areas of predictive modelling, financial instrument pricing, and risk management in several global investment banks and financial organizations. He completed his MS at UC Berkeley and his BE at IIT Kharagpur (India). Hariom has also completed FRM (Financial Risk Manager), CQF (Certificate in Quantitative Finance) and is a candidate for CFA Level 3.Sahil Puri works as a Quantitative Researcher in the Analytics Division at P.I.M.C.O. His work involves testing model assumptions and finding strategies for multiple asset classes. Sahil has applied multiple statistical and machine learning based techniques to a wide variety of problems; examples include: generating text features, labeling curve anomalies, non-linear risk factor detection, and time series prediction. He completed his MS at UC Berkeley and his BE at Delhi College of Engineering (India).
Bibliographische Angaben
- Autoren: Hariom Tatsat , Sahil Puri , Brad Lookabaugh
- 2021, XV, 409 Seiten, Masse: 17,9 x 23,1 cm, Taschenbuch, Englisch
- Verlag: O'Reilly Media
- ISBN-10: 1492073059
- ISBN-13: 9781492073055
Sprache:
Englisch
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