Machine Learning, Optimization, Random Walk, Data Science, Gradient Descent.
constructed from our test data and our model it is effectively only dependant on the parameters that are used to build our model. Combined with the fact that the quality of our predictions will grow inversely with the cost function, we’ll be able to get the best model by minimising the cost