Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python 1st Edition, Kindle Edition

3.9 out of 5 stars 40 ratings
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ISBN-13: 978-1789346411
ISBN-10: 178934641X
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Editorial Reviews

About the Author

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.

--This text refers to the paperback edition.

Product details

  • ASIN ‏ : ‎ B07JLFH7C5
  • Publisher ‏ : ‎ Packt Publishing; 1st edition (December 31, 2018)
  • Publication date ‏ : ‎ December 31, 2018
  • Language ‏ : ‎ English
  • File size ‏ : ‎ 43586 KB
  • Text-to-Speech ‏ : ‎ Enabled
  • Screen Reader ‏ : ‎ Supported
  • Enhanced typesetting ‏ : ‎ Enabled
  • X-Ray ‏ : ‎ Not Enabled
  • Word Wise ‏ : ‎ Not Enabled
  • Print length ‏ : ‎ 686 pages
  • Lending ‏ : ‎ Not Enabled
  • Customer Reviews:
    3.9 out of 5 stars 40 ratings

About the author

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Stefan is the founder and CEO of Applied AI. He advises Fortune 500 companies, investment firms, and startups across industries on data &amp; AI strategy, building data science teams, and developing end-to-end machine learning solutions.

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 is a CFA Charterholder. He has worked in six languages across Europe, Asia, and the Americas and taught data science at Data camp and General Assembly.

Customer reviews

3.9 out of 5 stars
3.9 out of 5
40 global ratings

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Reviewed in the United States on June 19, 2019
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Top reviews from other countries

James
2.0 out of 5 stars Badly written but has some good information
Reviewed in the United Kingdom on April 21, 2020
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4 people found this helpful
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Dechauffour
5.0 out of 5 stars Great book for learning Machine learning in an applied context
Reviewed in the United Kingdom on May 4, 2019
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3 people found this helpful
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Jing Zhang
5.0 out of 5 stars The most thorough and the most practical book on Machine Learning for trading
Reviewed in Canada on January 31, 2021
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wasif
3.0 out of 5 stars missing colored grapsh
Reviewed in Germany on March 15, 2020
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泉芳延
2.0 out of 5 stars 範囲は広いが内容、実例ともに乏しい
Reviewed in Japan on June 17, 2019
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