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Unlock the mathematical foundations of machine learning with this step-by-step guide, meticulously aligned to the higher education syllabus. Designed for students and enthusiasts, this book demystifies core concepts such as linear algebra, vectors, probability distributions, and essential algorithms that power modern machine learning. Each chapter builds on the last, offering clear explanations, practical examples, and a structured week-by-week approach that mirrors the academic curriculum.
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