The biggest problem, thoug h, is that models like this one are performed only on a single task. Future tasks require a new set of data points as well as equal or more amount of resources.

Transfer learning is an approach in deep learning (and machine learning) where knowledge is ...

You can never accurately predict what's going to happen. Some efforts come close.

For example, models looking at the weather can achieve more than 90% accuracy. But crises are about change, and a model working from historical data may miss a dramatic and new change.

To develop and manage a production-ready model, you must work through the following stages:

• Source and prepare your data.
• Develop your model.

• Train an ML model on your data:

• Train model

• Evaluate model accuracy

• Tune hyper...