AI for Finance [Video]

AI for Finance [Video]

Jakub Konczyk
New Release!

Explore Machine Learning methods to predict future financial events based on past data
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Video Description

A lot of solutions to key problems in the financial world require predicting the future patterns in data from the past to make better financial decisions right now. The evolution of modern machine learning methods and tools in recent years in the field of computer vision bring promise of the same progress in other important fields such as financial forecasting.

In this course, you’ll first learn how to quickly get started with ML in finances by predicting the future currency exchange rates using a simple modern machine learning method. In this example, you’ll learn how to choose the basic data preparation method and model and then how to improve them. In the next module, you’ll discover a variety of ways to prepare data and then see how they influence models training accuracy. In the last module, you’ll learn how to find and test a few key modern machine learning models to pick up the best performing one.

After finishing this course, you’ll have a solid introduction to apply ML methods to financial data forecasting.

The code bundle for this video course is available at - https://github.com/PacktPublishing/AI-for-Finance

Style and Approach

This video course offers a project-based approach with practical explanations to make sure you grasp the key aspects of each project and give you the skills required to develop financial forecasting tools in Python.

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What You Will Learn

  • Get hands-on financial forecasting experience using machine learning with Python, Keras, Scikit-Learn and pandas
  • Use a variety of data preparation methods with financial data
  • Predict future values based on single and multiple values
  • Apply key modern Machine Learning methods for forecasting
  • Understand the process behind choosing the best performing data preparation method and model
  • Grasp Machine Learning forecasting on a specific real-world financial data

Authors

Video Details

ISBN 139781789803778
Course Length2 hours 19 minutes
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