Learning & Sharing
The goal of the future post is to share knowledge, learn & share, simple & sweet!
As part of WEEKLY’s - Business Case Solution, I will post solution (& past solution) from Data Exploration to final Product. Focus is to help aspirants to show DS/ML in real world.
New Update: 1/26/2020
Due to multiple requests - I have to prioritize different use-cases and focus only on the first-cut model
- Time spend by me: < 10 hours/Week (Busy in office hours; please define your business problem clearly)
- Reach-out: yashkarwa.ms@gmail.com
- Data: If Proprietary data, code will not be shared on Github.
Future Post Context: Primarly, I would focus on how would you take the Data Science + ML from Academia to Business settings in Solving a problem includes Technical, Business and Product Management.
Academia & Industry Experience: 10+ Years of Experience in Data Analytics.
- Why it is important for me?:
- Plethora of information not relevant to industry.
- Perfect blend of APPLIED DS / ML in business context.
- Bootcamps, offline / online course, apprentice program are really expensive, with little/no value add!
- Share, Learn and revist past learnings.
- Introduce DS concepts to Business stakeholders.
- How / What Blog will be shared?:
- Transition Business Problem to ML/DS Problem.
- Define Value of solving problem in business context. Think of like a independent consultant!
- Define end-to-end Lifecycle from data analytics, ML and optimization..
- Show first cut model. You can extend the model and solution.
New blog & content cadence:
Every Week:
- Business use-case
- Technical Explanation (DS Lifecycle + Deployment Application Integration (optional))
- Showcase value and vision of the business problem.
