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AI for Finance [Video]

More Information
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
About

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.

Features
  • Learn the key Machine Learning (ML) techniques commonly used for Financial forecasting: from a simple Machine Learning model to using more complex ones
  • Explore tools such as pandas, Scikit-Learn, Keras, and Tensorflow for applications in Finance
  • Get Hands-on training to prepare financial data for analysis and use it to make future value predictions
Course Length 2 hours 19 minutes
ISBN 9781789803778
Date Of Publication 28 Feb 2019
What’s Financial Forecasting and Why It’s Important?
Installing Pandas, Scikit-Learn, Keras, and TensorFlow
Summary

Authors

Jakub Konczyk

Jakub Konczyk has enjoyed and done programming professionally since 1995. He is a Python and Django expert and has been involved in building complex systems since 2006. He loves to simplify and teach programming subjects and share it with others. He first discovered Machine Learning when he was trying to predict the real estate prices in one of the early-stage start-ups he was involved in. He failed miserably. Then he discovered a much more practical way to learn Machine Learning that he would like to share with you in this course. It boils down to “Keep it simple!” mantra. Kuba is an author of multiple bestselling video courses on Machine Learning and Deep Learning including Real-World Deep Learning Python Projects and AI in Finance.