Machine Learning For Finance Data Algorithms For The Markets And Deep Learning

Machine Learning for Finance (Repost)  eBooks & eLearning

Posted by step778 at Oct. 31, 2024
Machine Learning for Finance (Repost)

Jannes Klaas, "Machine Learning for Finance: The Practical Guide to Using Data-Driven Algorithms in Banking, Insurance, and Investments"
English | 2019 | pages: 456 | ISBN: 1789136369 | PDF | 8,5 mb

Machine Learning for Finance: Principles and practice for financial insiders  eBooks & eLearning

Posted by sammoh at Nov. 8, 2024
Machine Learning for Finance: Principles and practice for financial insiders

Machine Learning for Finance: Principles and practice for financial insiders
English | ISBN: 9781789136364 | 456 pages | May 30, 2019 | EPUB | 20.81 MB

A guide to advances in machine learning for financial professionals, with working Python code
Explore advances in machine learning and how to put them to work in financial industries
Clear explanation and expert discussion of how machine learning works, with an emphasis on financial applications
Deep coverage of advanced machine learning approaches including neural networks, GANs, and reinforcement learning
Machine Learning for Finance: Principles and practice for financial insiders (Repost)

Jannes Klaas, "Machine Learning for Finance: Principles and practice for financial insiders"
English | 2019 | ISBN: 1789136369 | EPUB | pages: 457 | 20.7 mb

Machine Learning For Quant Strategies  eBooks & eLearning

Posted by TiranaDok at Oct. 11, 2024
Machine Learning For Quant Strategies

Machine Learning For Quant Strategies by Surendra Singh
English | June 26, 2024 | ISBN: N/A | ASIN: B0D899GHJ6 | 234 pages | EPUB | 0.35 Mb

Hands-On Machine Learning for Algorithmic Trading  eBooks & eLearning

Posted by ksveta6 at May 7, 2019
Hands-On Machine Learning for Algorithmic Trading

Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python by Stefan Jansen
2018 | ISBN: 178934641X | English | 516 pages | True PDF | 25 MB

Machine Learning for Algorithmic Trading  eBooks & eLearning

Posted by Free butterfly at June 26, 2023
Machine Learning for Algorithmic Trading

Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition by Stefan Jansen
English | July 31, 2020 | ISBN: 1839217715 | 822 pages | MOBI | 17 Mb

Machine Learning for Algorithmic Trading  eBooks & eLearning

Posted by Free butterfly at Oct. 23, 2023
Machine Learning for Algorithmic Trading

Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition by Stefan Jansen
English | July 31, 2020 | ISBN: 1839217715 | 822 pages | EPUB, MOBI | 98 Mb

Machine Learning for Time Series  eBooks & eLearning

Posted by Free butterfly at Sept. 7, 2023
Machine Learning for Time Series

Machine Learning for Time Series: Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods, 2nd Edition by Ben Auffarth
English | March 11, 2024 | ISBN: 1837631336 | 392 pages | MOBI | 0.70 Mb

Machine Learning for Algorithmic Trading (Repost)  eBooks & eLearning

Posted by DZ123 at May 27, 2022
Machine Learning for Algorithmic Trading (Repost)

Stefan Jansen, "Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition"
English | 2020 | ISBN: 1839217715 | EPUB | pages: 820 | 27.1 mb

Hands-On Machine Learning for Algorithmic Trading  eBooks & eLearning

Posted by First1 at Jan. 15, 2020
Hands-On Machine Learning for Algorithmic Trading

Hands-On Machine Learning for Algorithmic Trading by Stefan Jansen
English | December 31st, 2018 | ISBN: 178934641X | 684 pages | EPUB (True/Retail Copy) | 27.89 MB

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras