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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
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Author (1)
Stefan Jansen
Stefan Jansen
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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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ML with text data – from language to features

Text data can be extremely valuable given how much information humans communicate and store using natural language. The diverse set of data sources relevant to financial investments range from formal documents like company statements, contracts, and patents, to news, opinion, and analyst research or commentary, to various types of social media postings or messages.

Numerous and diverse text data samples are available online to explore the use of NLP algorithms, many of which are listed among the resources included in this chapter's README file on GitHub. For a comprehensive introduction, see Jurafsky and Martin (2008).

To realize the potential value of text data, we'll introduce the specialized NLP techniques and the most effective Python libraries, outline key challenges particular to working with language data, introduce critical elements of the NLP workflow, and highlight NLP applications relevant for algorithmic...

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Machine Learning for Algorithmic Trading - Second Edition
Published in: Jul 2020Publisher: PacktISBN-13: 9781839217715
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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.
Read more about Stefan Jansen

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