There are various ways to go about training our own machine learning model. Before getting into ways to train our model, why would we go for training our own model?

Mostly, if our data is special or unique in some way and very much specific to our requirements and when the existing solutions cannot be used to solve our problem, we may decide to train our own model.

For training our own model, a good dataset is required. A good dataset is one which is qualitatively and quantitatively good and large.

Training our model can be done in multiple ways/places based on our requirements and the amount of data:

• On a desktop (training in the cloud):
  • General cloud computing
  • Hosted machine learning
  • Private cloud/simple server machine
• On a device: This is not very feasible. We can only deploy the trained model on a mobile device and invoke it from a mobile device. So far, the training process itself is not feasible from a mobile device.