You see "Machine Learning" and "Neural Networks" in every job description, but how do you go from reading headlines to writing code? While others talk about algorithms and models, you're looking for the first practical step-the one that skips the abstract theory and gets right to the keyboard. This book is that step. It was written to be the guide you can actually use, closing the gap between curiosity and capability. No Ph.D. in advanced mathematics required. This is a project-based, hands-on-the-code guide designed to make you a practitioner, not just an observer.
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