# Methods & Tools

**Reinforcement Learning:**

* Mechanism of Operation:

The system is "rewarded" for generating accurate results and "penalized" for inaccuracies, thereby adjusting its behavior to improve outcomes.

* Financial Application

If a stock price prediction is correct, the system receives a "reward" by increasing the weight assigned to that predictive model.

Conversely, if the prediction is incorrect, the system reduces the weight and adjusts the model to improve future performance.

**Transfer Learning:**

* Mechanism of Operation:

-STRANT AI leverages knowledge acquired from solving one problem to enhance performance in similar problems.

* Real Estate Application Example:

If the AI learns how to predict real estate values in an urban area, this acquired knowledge can be transferred and applied to predict real estate values in suburban areas.

**Continuous Learning:**

* Mechanism of Operation:

The system continuously updates and retrains its models with new data without requiring downtime for complete retraining from scratch.

* Advantages:

The system remains consistently updated with the latest information.

Ensures rapid responsiveness to unforeseen changes