When people hear that I became a Machine Learning (ML) Engineer without a computer science (CS) degree, the response is usually disbelief followed by curiosity. After all, ML is considered one of the most technical fields in modern technology. However, my story proves that with determination, strategic learning, and real-world application, it’s entirely possible to succeed—even without formal credentials in computer science. Whether you’re switching careers, still figuring things out, or just exploring, this guide is meant for you. It’s not just about the technical stuff—I’ll also touch on mindset, project building, and how to stand out in job applications…
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