• Menu
  • Skip to right header navigation
  • Skip to main content
  • Skip to secondary navigation
  • Skip to primary sidebar

OnlineProgrammingBooks.com

Legally Free Computer Books

  • All Categories
  • All Books
  • All Categories
  • All Books
  • About Us
  • Privacy policy
  • Disclaimer
  • Subscribe
  • Contact
You are here: Home ▶ Limited-Time Offers ▶ Hands-On Machine Learning for Algorithmic Trading

Hands-On Machine Learning for Algorithmic Trading

August 30, 2019

Hands-On Machine Learning for Algorithmic Trading

With Hands-On Machine Learning for Algorithmic Trading, create your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions. Develop neural networks for algorithmic trading to perform time series forecasting and smart analytics. (Limited-time offer)

Book Description

Topics included: 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

Download Free PDF / Read Online

Author(s): Stefan Jansen
Publisher: Packt Publishing
Published: December 2018
Format(s): Online
File size: –
Number of pages: 684
Download / View Link(s): This offer has ended.
Free as of 08/30/2019.

Similar Books:

  1. A Course in Machine Learning
  2. What You Need to Know about Machine Learning
  3. Machine Learning
  4. The LION Way: Machine Learning plus Intelligent Optimization [PDF]
  5. Microsoft Azure Essentials: Azure Machine Learning
Previous Post: « Hands-On Blockchain with Hyperledger
Next Post: Natural Language Processing with TensorFlow »

Primary Sidebar

Get Latest Updates

  • Facebook
  • Pinterest
  • RSS
  • Twitter
  • YouTube
  • About Us
  • Privacy policy
  • Disclaimer
  • Subscribe
  • Contact

Copyright © 2006–2021 OnlineProgrammingBooks.com