Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python
Author:   Stefan Jansen
Publisher:   Packt Publishing Limited
ISBN:  

9781789346411


Pages:   684
Publication Date:   31 December 2018
Format:   Paperback
Availability:   Available To Order   Availability explained
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Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python


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Author:   Stefan Jansen
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781789346411


ISBN 10:   178934641
Pages:   684
Publication Date:   31 December 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Machine Learning for Trading Market and Fundamental Data Alternative Data for Finance Alpha Factor Research Strategy Evaluation The Machine Learning Process Linear Models Time Series Models Bayesian Machine Learning Decision Trees and Random Forests Gradient Boosting Machines Unsupervised Learning Working with Text Data Topic Modeling Word Embeddings Next Steps

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Author Information

Stefan Jansen, CFA is Founder and Lead Data Scientist at Applied AI where he advises Fortune 500 companies and startups across industries on translating business goals into a data and AI strategy, builds data science teams and develops ML solutions. Before his current venture, he was Managing Partner and Lead Data Scientist at an international investment firm where he built the predictive analytics and investment research practice. He was also an executive at a global fintech startup operating in 15 markets, worked for the World Bank, advised Central Banks in emerging markets, and has worked in 6 languages on four continents. Stefan holds Master's from Harvard and Berlin University and teaches data science at General Assembly and Datacamp.

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