Large Scale Machine Learning with Python

Large Scale Machine Learning with Python uncovers a new wave of machine learning algorithms that meet scalability demands together with a high predictive accuracy.

Dive into scalable machine learning and the three forms of scalability. Speed up algorithms that can be used on a desktop computer with tips on parallelization and memory allocation. Get to grips with new algorithms that are specifically designed for large projects and can handle bigger files, and learn about machine learning in big data environments. (Limited-time offer)

Table of Contents

• Getting Started with Data Science
• First Steps to Scalability
• Scalable Learning in Scikit-learn
• Fast SVM Implementations
• Neural Networks and Deep Learning
• Deep Learning with TensorFlow
• Classification and Regression Trees at Scale
• Unsupervised Learning at Scale
• Distributed Environments – Hadoop and Spark
• Practical Machine Learning with Spark

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