Jansen Hands-On Machine Learning for Algorithmic Trading

Design and implement investment strategies based on smart algorithms that learn from data using Python
1. Auflage 2018
ISBN: 978-1-78934-271-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 684 Seiten

No detailed description available for "Hands-On Machine Learning for Algorithmic Trading".

Autoren/Hrsg.

Jansen, Stefan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

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

Über Autor(innen)

Jansen Stefan:
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.