Kickstart Unsupervised Machine Learning: Master Unsupervised Machine Learning Through Pattern Discovery, Clustering, and Dimensionality Reduction to Build Intelligent, Real-World Applications
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Key Features
Master unsupervised learning techniques for Machine Learning with real-world applications., Learn clustering, dimensionality reduction, and anomaly detection with real-world applications., Build practical expertise through step-by-step coding and practical examples as well as datasets.
Title
Kickstart Unsupervised Machine Learning: Master Unsupervised Machine Learning Through Pattern Discovery, Clustering, and Dimensionality Reduction to Build Intelligent, Real-World Applications
Publication Year
2025 December
Book Type
Non-fiction
Table of Contents
1. Understanding Unsupervised Learning 2. Python Basics for Machine Learning 3. Clustering Techniques 4. Dimensionality Reduction 5. Anomaly and Outlier Detection 6. Deep Unsupervised Learning 7. Applications of Unsupervised Learning 8. Unsupervised Learning for Natural Language Processing 9. Evaluating Unsupervised Learning Models 10. Deploying Unsupervised Learning Models into Production 11. Case Studies and Best Practices in Unsupervised Learning Index
Product Form
Paperback
Publisher
Orange Education Pvt Ltd
Genre
Artificial Intelligence / Machine Learning see Data Science / Machine Learning, Artificial Intelligence / General, Data Science / Machine Learning
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