Reconstructing Machine Learning

A holistic yet elementary perspective on learning from data

The book Reconstructing Machine Learning first takes machine learning apart into its atomic elements before it rebuilds it into a holistic approach, drawing inspiration from the rigor of statistical modeling (book in progress).

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The book is not yet available as I’m still writing it.

Table Of Contents (work in progress)

• Introdution
• The Art of Induction
• Elements of Representation
• Combining Elements of Representation
• Elements of Optimization
• Elements of Evaluation
• Fluidity of the Model
• The True Function
• The Data-Generating Process
• Machine Learning Inference
• …