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There are 4 sections for those who are starting:
• Linear Algebra and Functional Analysis
• Probability and Statistics
• Python Primer
• Multivariate Differentiation and Optimization

The rest of the chapters:
• Importing, Summarizing, and Visualizing Data
• Statistical Learning
• Monte Carlo Methods
• Unsupervised Learning
• Regression
• Regularization and Kernel Methods
• Classification
• Decision Trees and Ensemble Methods
• Deep Learning

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