Practical Machine learning is more than just building models.
3 ways to put your machine learning model in production 👇

1. As a Web Service
Machine learning models can be wrapped and served as a web service that can be easily integrated with your applications.
You can use the following tools:
- FastAPI
- Streamlit

2. Via Cloud Platforms
You can host your machine learning models on a serverless platform. This will allow you to deploy your model without worrying about server maintenance.
You can use the following platforms:
- AWS
- Google Cloud Platform
- Microsoft Azure

3. On Edge Devices
Lately, computing on edge devices such as mobile and IoT has become very popular. By eliminating network dependencies and latency, it enables you to process data in real-time.
You can use the following tool:
- Tensorflow Lite (by Google)
- CoreML (by Apple)

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