Description
Machine Learning: A Hands-on Approach is a comprehensive, practical guide for those looking to move beyond theory and into the world of machine learning implementation. The author cuts through the jargon and charts a path that takes the reader on real-world projects using popular tools like Scikit-Learn and TensorFlow.
The main focus of the book is on solving real-world challenges such as data quality, overfitting, and feature engineering. By reading this work, the reader will not only become familiar with various algorithms, but also learn the skills necessary to design, train, and deploy machine learning models step by step.
Book Features
- Step-by-step training on implementing regression, classification, and clustering models.
- Focus on project-based learning using standard Python libraries.
- Coverage of advanced topics including deep neural networks and transformers.
- Providing “try it yourself” exercises at the end of each section to consolidate learning.
- Investigating ensemble learning methods such as random forests.
Book specifications
- Publisher: Universities Press
- Instructor/Author: CR Rene Robin
- Number of pages: 1180
- Number of chapters: 14
- Format: PDF
Machine Learning: A Hands-on Approach
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Download link
File(s) password: www.downloadly.ir
File size
19.4 MB
