A Roadmap to Become a Machine Learning Engineer
<p>As a Machine Learning Engineer, I remember feeling uncertain about the path ahead when I first started out. Back then, I had no idea that the title “Machine Learning Engineer” even existed when I was working on my Text-to-Speech study for my Bachelor’s thesis. But it has become a popular and sought-after title, particularly among computer science students. With this in mind, I created a roadmap specifically for those interested in pursuing a career in this field. The roadmap starts with the basics and gradually builds up skills, one layer at a time. It’s worth noting that in today’s world and job market, having a Master’s degree is almost a requirement to land a job in this sector, as it can make a tremendous difference.</p>
<h2>What are the prerequisites to becoming a Machine Learning Engineer?</h2>
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<li>It all starts with <strong>math</strong>. Linear Algebra, Statistics and Probability are our first requirements before jumping into ML algorithms. It’s important to have a strong foundation in these areas since Machine Learning is based on statistical and probabilistic models.</li>
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