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5 Questions you would ask your operations team to create better ML models:

1. At what point of time in the designated process, will the team utilize the Model? Understanding the timeline is very crucial for the model development process because it defines the prediction…

  • When in the project timeline will the model be employed?
  • What format is required for the model's output?
  • How frequently will the model's predictions be used?

An Overview of Basic Gradient Descent Optimization Algorithms

Gradient Descent is a method for unconstrained mathematical optimization . It is a first-order iterative algorithm for minimizing a differentiable multivariate function.

  • Batch Gradient Descent computes gradient using entire training dataset for one update.
  • Stochastic Gradient Descent updates parameters with each random training example.
  • Mini-batch Gradient Descent balances accuracy and speed using small training batches.

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