NEW Machine Learning Roadmap 2024 Website:
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Machine Learning is not easy, especially if you are a “selftaught” machine learning engineer. But that’s exactly what I did. In this video, I’m going to talk about 5 important steps you can take in order to become a selftaught machine learning engineer.
1. Understand & Own your way of learning: Understand that machine learning is not easy. I know shocking right? But that shouldn’t stop you. I started out with the mindset that I would master machine learning after completing a single course. Oh, how wrong I was. Realistically I soon realized that I would learn in increments, I would personally count gaining even 10% understanding from a single course as an achievement. And my understanding will improve over time from various recourses, like books, reading popular research papers, and doing projects.
2. Focus on problems NOT tools. If you spend too much time trying to find the best language or the best tool, you will waste time instead of focusing on what is more important. Learning problem framing is essential when it comes to working as a machine learning engineer.
3. Take ADVANTAGE of your existing domain knowledge. If you are already working in a certain field but want to shift to machine learning, take ADVANTAGE of your existing domain knowledge. Find a problem in your industry and try solving it with machine learning.
4. Believe in yourself. I know you might be watching this video as some sort of validation, and that is fine. But the most important thing to realize is that you don't need me or someone else to tell you that you can learn machine learning. You need to start telling yourself that.
5. Continuous learning.
Timestamps:
00:00 Intro
00:53 Understand & Own your way of learning
01:40 Focus on problems NOT tools
04:20 Take ADVANTAGE of your existing domain knowledge
04:51 Believe in yourself
05:42 Continuous learning
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NEW Machine Learning Roadmap 2024 Website:
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