Introduction to Deep Learning (The MIT Press) | Linear Algebra and Learning from Data | The Hundred-Page Machine Learning Book | A Programmer's Introduction to Mathematics | Introduction to the Theory of Complex Systems | Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares | Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency (Tutorial Introductions) | Model Thinker: What You Need to Know to Make Data Work for You | Information Theory, Inference and Learning Algorithms
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