You're reading from Machine Learning for Algorithmic Trading - Second Edition

Product typeBook

Published inJul 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781839217715

Edition2nd Edition

Languages

Python

Tools

TensorFlow

Concepts

Machine Learning

Author (1)

Stefan Jansen

References

Abdel-Hamid, Ossama, Abdel-rahman Mohamed, Hui Jiang, Li Deng, Gerald Penn, and Dong Yu. 2014. "Convolutional Neural Networks for Speech Recognition." IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (10): 1533–45. https://doi.org/10.1109/TASLP.2014.2339736.

Alqahtani, Hamed, Manolya Kavakli-Thorne, and Gulshan Kumar. 2019. "Applications of Generative Adversarial Networks (GANs): An Updated Review." Archives of Computational Methods in Engineering, December. https://doi.org/10.1007/s11831-019-09388-y.

Ang, Andrew, Robert J Hodrick, Yuhang Xing, and Xiaoyan Zhang. 2006. "The Cross-Section of Volatility and Expected Returns." The Journal of Finance 61 (1): 259–99.

Ang, Andrew. 2014. Asset Management: A Systematic Approach to Factor Investing. 1 edition. Oxford: Oxford University Press.

Araci, Dogu. 2019. "FinBERT: Financial Sentiment Analysis with Pre-Trained Language Models." ArXiv...

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Author (1)

Stefan Jansen

Stefan is the founder and CEO of Applied AI. He advises Fortune 500 companies, investment firms, and startups across industries on data & AI strategy, building data science teams, and developing end-to-end machine learning solutions for a broad range of business problems. Before his current venture, he was a partner and managing director at an international investment firm, where he built the predictive analytics and investment research practice. He was also a senior executive at a global fintech company with operations in 15 markets, advised Central Banks in emerging markets, and consulted for the World Bank. He holds Master's degrees in Computer Science from Georgia Tech and in Economics from Harvard and Free University Berlin, and a CFA Charter. He has worked in six languages across Europe, Asia, and the Americas and taught data science at Datacamp and General Assembly.
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