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Hello, fellow data enthusiasts! I’m a Data Scientist in the Renewable Energy industry, and today I’m excited to share a hypothetical journey – how I would dive into learning machine learning in 2024 if I were starting fresh. The rapidly evolving nature of our industry demands continuous learning and adaptation, making it crucial to stay ahead in the realm of machine learning.
Before we delve into the roadmap, let’s acknowledge that this learning path is presented with a focus on the renewable energy sector. However, feel free to customize the journey based on your unique interests within the broader industry landscape. Machine learning is a versatile tool with applications across various domains, and your learning path should align with your passion and career aspirations.
Note: I strongly advise that if you’ve chosen an industry to enter or are already working in a particular sector, consider addressing challenges using machine learning specifically tailored to that industry.
Now, let’s explore the roadmap I would take, emphasizing key topics and strategies that align with the unique challenges and opportunities in the renewable energy sector.
Roadmap Outline
- Master the ML Basics: The Solid Start
- Understanding supervised and…
