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Publisher : O’Reilly Media; 1st edition (September 19, 2023)
Language : English
Paperback : 264 pages
ISBN-10 : 1492097675
ISBN-13 : 978-1492097679
Item Weight : 15.2 ounces
Dimensions : 6.9 x 0.7 x 9.1 inches
Probabilistic Machine Learning for Finance and Investing:
A Primer to Generative AI with Python
In the world of finance and investing, making accurate predictions and decisions is crucial for success. Probabilistic machine learning, a subset of artificial intelligence, offers a powerful tool for analyzing and predicting market behavior. By using probabilistic models, investors can better understand uncertain and complex market dynamics, leading to more informed investment decisions.
One of the key components of probabilistic machine learning is generative AI, which focuses on creating realistic and diverse samples from a given dataset. This approach can be particularly useful in finance and investing, where predicting future market trends and behaviors is essential.
Python, a popular programming language for data analysis and machine learning, is a great tool for implementing probabilistic machine learning models. In this primer, we will explore how to use Python to build generative AI models for financial data analysis and prediction.
We will cover topics such as:
– Introduction to probabilistic machine learning and generative AI
– Building generative models using Python libraries such as TensorFlow and PyTorch
– Analyzing financial data and creating predictive models
– Evaluating model performance and making investment decisions based on model outputs
Whether you are a seasoned investor looking to enhance your decision-making process or a data scientist interested in applying machine learning to finance, this primer will provide you with the tools and knowledge to leverage probabilistic machine learning for better financial outcomes. Stay tuned for more insights and tutorials on this exciting topic!
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