Learning Process

Building Solutions #Datascience #perspectives

As we near challenging moments, a lot of papers/research / State of Art #SOTA Discussions. Creating Solutions from it requires.

• Try new #tools often, especially ones that use a different approach
• Need to blend concept + value proposition. #Conceptual clarity - What are the basics, and How it works. #Logical thinking - What are solutions/options, beyond the paper to real-world applications, and how it applies to implementation.
• Copy-paste code knowledge is not true knowledge, #Production grade Solutions vs Demo both are different levels, even if people pitch both at similar levels as projects.
• Learning is a repetitive process, Learning is connected to aspects of related topics. Learning needs frequent experiments / corrections and updates
• Along the way, ML is joined by MLops, Cloud Stack, and Deployment, Serving a few more siblings to make the journey more research focused
• Ship early, Ship often, and Refine it more often. 

Keep Exploring!!!