Several organizations have started their journey toward developing their ML models. The journey can be challenging but to make it easy @Deepak Bhardwaj has outlined the following steps with a structured approach towards the development of AI models.

๐Ÿ”˜ ๐ƒ๐š๐ญ๐š ๐ˆ๐ง๐ ๐ž๐ฌ๐ญ๐ข๐จ๐ง: Collect data from various sources.

๐Ÿ”˜ ๐ƒ๐š๐ญ๐š ๐๐ซ๐ž๐ฉ๐š๐ซ๐š๐ญ๐ข๐จ๐ง: Preparing data for analysis.
โ†ณ Validate: Ensure data is correct.
โ†ณ Clean: Remove errors and inconsistencies.
โ†ณ Standardise: Make data uniform.
โ†ณ Curate: Organise data effectively.
โ†ณ Anonymise: Protect personal information.

๐Ÿ”˜ ๐ƒ๐š๐ญ๐š ๐‹๐š๐ค๐ž & ๐ƒ๐ž๐ฅ๐ญ๐š ๐‹๐š๐ค๐ž: Store raw and processed data.


๐Ÿ”˜ ๐…๐ž๐š๐ญ๐ฎ๐ซ๐ž ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ๐ข๐ง๐ : Create useful data features.
โ†ณ Extract Features: Select essential data points.
โ†ณ Split Dataset: Divide data for training and testing.

๐Ÿ”˜ ๐Œ๐จ๐๐ž๐ฅ ๐“๐ซ๐š๐ข๐ง๐ข๐ง๐ : Develop and refine models.
โ†ณ Code: Write algorithms.
โ†ณ Train: Teach models using data.
โ†ณ Evaluate model performance.
โ†ณ Optimise: Improve model accuracy.

๐Ÿ”˜ ๐Œ๐จ๐๐ž๐ฅ ๐‘๐ž๐ ๐ข๐ฌ๐ญ๐ซ๐ฒ & ๐ƒ๐ž๐ฉ๐ฅ๐จ๐ฒ๐ฆ๐ž๐ง๐ญ: Manage and deploy models.
โ†ณ Package: Bundle models for deployment.
โ†ณ Containerise: Use containers for consistency.
โ†ณ Deploy: Implement models into production.

๐Ÿ”˜ ๐ˆ๐ง๐Ÿ๐ž๐ซ๐ž๐ง๐œ๐ž ๐€๐๐ˆ: Provide real-time predictions.

๐Ÿ”˜ ๐…๐ž๐š๐ญ๐ฎ๐ซ๐ž ๐’๐ญ๐จ๐ซ๐ž: Manage reusable data features.

https://lnkd.in/grrx7-Xi

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