Machine Learning with R – Second Edition

Machine Learning with R – Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with minimal previous experience.(Limited-time offer)

Table of Contents

• Introducing Machine Learning
• Managing and Understanding Data
• Lazy Learning – Classification Using Nearest Neighbors
• Probabilistic Learning – Classification Using Naive Bayes
• Divide and Conquer – Classification Using Decision Trees and Rules
• Forecasting Numeric Data – Regression Methods
• Black Box Methods – Neural Networks and Support Vector Machines
• Finding Patterns – Market Basket Analysis Using Association Rules
• Finding Groups of Data – Clustering with k-means
• Evaluating Model Performance
• Improving Model Performance
• Specialized Machine Learning Topics

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