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About No ML Degree
<span>A strategic portfolio can be worth more than an $80K degree</span><p>Learn how to:</p><ul><li><span>Think like an employer</span></li><li><span>Select resources to learn how to program</span></li><li><span>Pick a practical course to learn competitive ML skills</span></li><li><span>Choose between the six types of projects employers value</span></li><li><span>Identify ideas that make you stand out</span></li><li><span>The habits to make progress on your projects</span></li><li><span>Build a framework to self-evaluate your projects</span></li><li><span>Find and email companies that value real-world skills</span></li><li><span>Prepare for practical interviews</span></li></ul><p><br>This guide is for self-learners, but it's also crucial for degree holders looking to strengthen their resumes with portfolio projects.</p><span>Most online courses don't work</span><p>Online courses can provide structured learning resources but have a marginal impact on employment attractiveness.</p><p>Many ML students end up with good interviewing skills but a weak resume. They realize too late that employers don't value a combination of common portfolio projects and online certificates. Hiring managers see the same portfolio projects over and over again.</p><p>Autodidacts lack accountability.</p><p>Self-learners can find exam answers online and copy-paste existing portfolio projects. That's what many do. Employers can't tell the difference between honest and low-effort learners.</p><p>The hard part of the ML self-learning path is not how to gain knowledge but how to create industry credibility. Self-learners need to learn industry-level skills to build unique and impressive portfolio projects. And then target companies that assess and value their real-world skills.</p><p>That's what this guide is all about.</p><br><span>What this guide is not:</span><p><span>This isn't about concepts or theory. </span>You are probably aware there are plenty of resources to learn machine learning. Instead, this guide helps you navigate and select those resources to help you land an ML job.</p><p><span>This isn't about titles. </span>Many want to study an extensive curriculum, do exams, and earn a certain label. Instead of working toward a broad ideal, this guide is about learning specific skills that employers want to pay you for.</p>
Detailed Information
| Author: | Emil Wallnér |
|---|---|
| Publication Year: | 2022 |
| Pages: | 61 |
| Language: | other |
| File Size: | 0.5616 |
| Format: | |
| Price: | FREE |
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