I’ve been there too – feeling overwhelmed by the vast landscape of machine learning concepts, techniques, and tools. Maybe you’ve been working in the field for a while, but suddenly realized you need to go back to basics. Or perhaps you’re new to machine learning and want to build a strong foundation from the ground up.
Whatever your reason, relearning machine learning from scratch can be a daunting task. But trust me, it’s worth it. In this post, I’ll share my own experience of relearning ML from scratch and offer some practical tips to help you on your journey.
Why Relearn ML from Scratch?
I realized that I had been relying too heavily on pre-built models and libraries without fully understanding the underlying concepts. I was like a cook who could follow a recipe but didn’t know how to prepare the ingredients from scratch. It was time to go back to basics and rebuild my knowledge from the ground up.
My Relearning Journey
I started by revisiting the fundamentals of linear algebra, calculus, and statistics. I worked through textbooks, online courses, and practice problems to solidify my understanding of these crucial concepts. Then, I moved on to machine learning basics, such as supervised and unsupervised learning, regression, and classification.
Tips for Relearning ML from Scratch
- Start with the basics: Don’t try to learn advanced techniques before you have a solid grasp of the fundamentals.
- Practice, practice, practice: Work through practice problems and projects to reinforce your understanding of concepts.
- Break it down: Break down complex topics into smaller, manageable chunks, and focus on one chunk at a time.
- Join a community: Connect with others who are also relearning ML from scratch – it helps to have a support system.
Conclusion
Relearning machine learning from scratch takes time and effort, but it’s worth it. By rebuilding your knowledge from the ground up, you’ll gain a deeper understanding of the concepts and be able to tackle more complex projects with confidence. So, take the first step today, and start your relearning journey.