AI/ML problems, and in each such case σ is assumed to be known .

AI/ML problems, and in each such case σ is assumed to be known .

Sometimes the best model is the simplest. The model with minimal manipulation yielded the highest recall score of 0.95. After feature selection and hyperparameter tuning, recall decreased to 0.79. Overfitting means the model is strong at predicting the data on which it was trained, but weak at generalizing to unseen data. The validation score is similar to the test score, so we know it's performing similarly on completely unseen.

In my last post, I discussed the state of confusion around deep learning and its abilities. Also, how even software programmers have a hard time understanding how deep learning enables machines to program themselves. In this post, I will try to explain probably the hardest to understand deep learning concept i.e. how deep learning machines program themselves without any human intervention. Since the advent of software programming, humans have been writing code to program the behavior of machines. In other words, the behavior of a machine only changes when the machine is reprogrammed by a human through new lines of code.

In my last post, I discussed the state of confusion around deep learning and its abilities. Also, how even software programmers have a hard time understanding how deep learning enables machines to program themselves. In this post, I will try to explain probably the hardest to understand deep learning concept i.e. how deep learning machines program themselves without any human intervention. Since the advent of software programming, humans have been writing code to program the behavior of machines. In other words, the behavior of a machine only changes when the machine is reprogrammed by a human through new lines of code.