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Python Machine Learning By Example

Python Machine Learning By Example - Fourth Edition

By : Yuxi (Hayden) Liu
4.9 (8)
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Python Machine Learning By Example

Python Machine Learning By Example

4.9 (8)
By: Yuxi (Hayden) Liu

Overview of this book

The fourth edition of Python Machine Learning By Example is a comprehensive guide for beginners and experienced machine learning practitioners who want to learn more advanced techniques, such as multimodal modeling. Written by experienced machine learning author and ex-Google machine learning engineer Yuxi (Hayden) Liu, this edition emphasizes best practices, providing invaluable insights for machine learning engineers, data scientists, and analysts. Explore advanced techniques, including two new chapters on natural language processing transformers with BERT and GPT, and multimodal computer vision models with PyTorch and Hugging Face. You’ll learn key modeling techniques using practical examples, such as predicting stock prices and creating an image search engine. This hands-on machine learning book navigates through complex challenges, bridging the gap between theoretical understanding and practical application. Elevate your machine learning and deep learning expertise, tackle intricate problems, and unlock the potential of advanced techniques in machine learning with this authoritative guide.
Table of Contents (18 chapters)
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16
Other Books You May Enjoy
17
Index

Predicting Stock Prices with Regression Algorithms

In the previous chapter, we predicted ad clicks using logistic regression. In this chapter, we will solve a problem that interests everyone—predicting stock prices. Getting wealthy by means of smart investment—who isn’t interested?! Stock market movements and stock price predictions have been actively researched by a large number of financial, trading, and even technology corporations. A variety of methods have been developed to predict stock prices using machine learning techniques. Herein, we will focus on learning several popular regression algorithms, including linear regression, regression trees and regression forests, and support vector regression, utilizing them to tackle this billion (or trillion)-dollar problem.

We will cover the following topics in this chapter:

  • What is regression?
  • Mining stock price data
  • Getting started with feature engineering
  • Estimating with linear...
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Python Machine Learning By Example
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