Building Machine Learning Systems with Python

Building Machine Learning Systems with Python shows you exactly how to find patterns through raw data. The book starts by brushing up on your Python ML knowledge and introducing libraries, and then moves on to more serious projects on datasets, Modelling, Recommendations, improving recommendations through examples and sailing through sound and image processing in detail. Using open-source tools and libraries, readers will learn how to apply methods to text, images, and sounds.

Table of Contents

• Getting Started with Python Machine Learning
• Learning How to Classify with Real-world Examples
• Clustering – Finding Related Posts
• Topic Modeling
• Classification – Detecting Poor Answers
• Classification II – Sentiment Analysis
• Regression – Recommendations
• Regression – Recommendations Improved
• Classification III – Music Genre Classification
• Computer Vision – Pattern Recognition
• Dimensionality Reduction
• Big(ger) Data

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