<ul><li>Machine Learning is powered by math and understanding the underlying mathematics is crucial to truly understanding ML models.</li><li>The core mathematical concepts in ML include scalars, vectors, matrices, vector operations and dot product, matrix multiplication, derivatives and gradient descent, and probability & statistics essentials.</li><li>This blog explains these concepts in a beginner-friendly way using JavaScript, allowing readers to learn through practical coding examples.</li><li>It is a helpful resource for JavaScript developers interested in ML, beginners seeking a deeper understanding of the mathematical side of ML, and those who prefer hands-on learning.</li></ul>

Mathematical Foundations for Machine Learning in JavaScript

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