Big Data Analytics and Data Science (ePub)
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"Python Machine Learning for Beginners: Unsupervised Learning, Clustering, and Dimensionality Reduction" is a comprehensive guide designed to help you understand the basics of machine learning and dive into the world of unsupervised learning. This book covers the essential concepts and techniques of clustering and dimensionality reduction, two critical aspects of unsupervised learning. Through hands-on examples and real-world applications, you'll learn how to implement these techniques in Python, the most popular programming language for machine learning. Whether you're a beginner to programming or just starting out with machine learning, this book will provide you with the knowledge and skills you need to develop effective and sophisticated models. With its clear and concise explanations, you'll be able to quickly master the concepts and start applying them to your own projects. So, start your journey to becoming a machine learning expert today with "Python Machine Learning for Beginners: Unsupervised Learning, Clustering, and Dimensionality Reduction."
- Autor: Conor Williams
- 2024, Englisch
- Verlag: May Reads
- ISBN-10: 8224346781
- ISBN-13: 9798224346783
- Erscheinungsdatum: 03.05.2024
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Grösse: 0.12 MB
- Mit Kopierschutz
- Vorlesefunktion
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